AI-assisted Screening and Prevention Programs for Diseases


  • Mehrdad Farrokhi
  • Amir Moeini
  • Fatemeh Taheri
  • Masoud Farrokhi
  • Mehran Khodashenas
  • Mahdi Babaei
  • Parisa Jafari Khouzani
  • Hessam Nikseresht
  • Daniel Shafiei
  • Ghazal Shayankia
  • Asal Shayankia
  • Erfan Ghadirzadeh
  • Zahrasadat Hosseini
  • Elham Sadeghi
  • Seyed Amir Arjmand
  • Rezvan Ghaderpanah
  • Mehdi Mohammadpour
  • Reyhaneh Sheikhzadeh
  • Mohammad Tolouei
  • Atieh Sadeghniiat-Haghighi
  • Mazdak Mahsa
  • Faezeh Jalayer Sarnaghy
  • Amirhossein Mirbolook
  • Shabnam Pourhamdi
  • Delaram Naderi
  • Barzan Soleimani
  • Ehsan Mehrtabar
  • Kourosh Shahraki
  • Mahmonir Bayanati
  • Arash Rezaeirad
  • Ashkan Azizi
  • Pendar Argani
  • Hamed Ghorbani
  • Farzaneh Afshar Delkhah
  • Sarina Azimian Zavareh
  • Mohammad Pirouzan
  • Shaheen Shahriari
  • Saeedeh Sarhadi
  • Mohammad Amin Khalafi
  • Habib Azimi
  • Roozbeh Roohinezhad
  • Hedayati Emami Setareh
  • Mehrdad Mohammadian
  • Hournaz Hassanzadeh
  • Behnoosh Sabaghi
  • Benyamin Mohammadi
  • Vahid Saqagandomabadi
  • Amirmozaffar Moezzi
  • Forough Moezzi
  • Mostafa Yahyazadeh Andevari
  • Amirhosein Faghihkhorasani
  • Mikaiel Hajializade
  • Ahmad Pirani
  • Roya Khorram
  • Nasrin Khakpournia
  • Mohadese Ranjbaran Ghaleh
  • Sadaf Salehi
  • Mina Alinejad
  • Hanieh Maleki
  • Monireh Pourrahimi
  • Sima Foroughi Nematollahi
  • Fatemeh Azarkish
  • Maede Hosseinnia


Artificial Intelligence , Screening , Prevention


AI-assisted screening and prevention programs have the potential to revolutionize disease management and improve public health outcomes. By harnessing the power of artificial intelligence and machine learning, these programs can enhance early detection, risk assessment, and personalized interventions for a wide range of diseases. One of the key advantages of AI-assisted screening programs is their ability to analyze large volumes of data quickly and accurately. Whether it's medical images, genetic profiles, or patient records, AI algorithms can identify subtle patterns and markers that may indicate the presence of a disease. This enables healthcare providers to detect diseases at an early stage when treatment options are more effective and less invasive. Furthermore, AI algorithms can be trained to assess an individual's risk of developing certain diseases based on various factors such as genetics, lifestyle, and environmental exposures. By identifying high-risk individuals, healthcare professionals can implement targeted prevention strategies, such as lifestyle modifications, regular screenings, or preventive medications. This proactive approach can significantly reduce the incidence and impact of diseases, leading to improved health outcomes and cost savings for healthcare systems. AI-assisted screening and prevention programs also have the potential to improve access to healthcare services, especially in underserved or remote areas. Telemedicine platforms integrated with AI algorithms can enable remote consultations, allowing individuals to receive timely and accurate assessments of their health conditions without the need for in-person visits. This can bridge the gap in healthcare access, particularly for individuals who face geographical or logistical barriers.


Artificial intelligence and medical imaging 2018: French Radiology Community white paper. Diagn Interv Imaging. 2018;99(11):727-42.

Abdelhalim H, Berber A, Lodi M, Jain R, Nair A, Pappu A, et al. Artificial Intelligence, Healthcare, Clinical Genomics, and Pharmacogenomics Approaches in Precision Medicine. Front Genet. 2022;13:929736.

Abubaker Bagabir S, Ibrahim NK, Abubaker Bagabir H, Hashem Ateeq R. Covid-19 and Artificial Intelligence: Genome sequencing, drug development and vaccine discovery. J Infect Public Health. 2022;15(2):289-96.

Adedinsewo DA, Pollak AW, Phillips SD, Smith TL, Svatikova A, Hayes SN, et al. Cardiovascular Disease Screening in Women: Leveraging Artificial Intelligence and Digital Tools. Circ Res. 2022;130(4):673-90.

Adly AS, Adly AS, Adly MS. Approaches Based on Artificial Intelligence and the Internet of Intelligent Things to Prevent the Spread of COVID-19: Scoping Review. J Med Internet Res. 2020;22(8):e19104.

Agbehadji IE, Awuzie BO, Ngowi AB, Millham RC. Review of Big Data Analytics, Artificial Intelligence and Nature-Inspired Computing Models towards Accurate Detection of COVID-19 Pandemic Cases and Contact Tracing. Int J Environ Res Public Health. 2020;17(15).

Aggarwal N, Ahmed M, Basu S, Curtin JJ, Evans BJ, Matheny ME, et al. Advancing Artificial Intelligence in Health Settings Outside the Hospital and Clinic. NAM Perspect. 2020;2020.

Al-Hwsali A, Alsaadi B, Abdi N, Khatab S, Alzubaidi M, Solaiman B, et al. Scoping Review: Legal and Ethical Principles of Artificial Intelligence in Public Health. Stud Health Technol Inform. 2023;305:640-3.

Al-Maini M, Maindarkar M, Kitas GD, Khanna NN, Misra DP, Johri AM, et al. Artificial intelligence-based preventive, personalized and precision medicine for cardiovascular disease/stroke risk assessment in rheumatoid arthritis patients: a narrative review. Rheumatol Int. 2023;43(11):1965-82.

Alamgir A, Mousa O, Shah Z. Artificial Intelligence in Predicting Cardiac Arrest: Scoping Review. JMIR Med Inform. 2021;9(12):e30798.

Amezcua-Prieto C, Fernández-Luna JM, Huete-Guadix JF, Bueno-Cavanillas A, Khan KS. Artificial intelligence and automation of systematic reviews in women's health. Curr Opin Obstet Gynecol. 2020;32(5):335-41.

Aminoshariae A, Kulild J, Nagendrababu V. Artificial Intelligence in Endodontics: Current Applications and Future Directions. J Endod. 2021;47(9):1352-7.

Ampadi Ramachandran R, Chi SW, Srinivasa Pai P, Foucher K, Ozevin D, Mathew MT. Artificial intelligence and machine learning as a viable solution for hip implant failure diagnosis-Review of literature and in vitro case study. Med Biol Eng Comput. 2023;61(6):1239-55.

An R, Shen J, Xiao Y. Applications of Artificial Intelligence to Obesity Research: Scoping Review of Methodologies. J Med Internet Res. 2022;24(12):e40589.

Aniza R, Chen WH, Pétrissans A, Hoang AT, Ashokkumar V, Pétrissans M. A review of biowaste remediation and valorization for environmental sustainability: Artificial intelligence approach. Environ Pollut. 2023;324:121363.

Aqel S, Syaj S, Al-Bzour A, Abuzanouneh F, Al-Bzour N, Ahmad J. Artificial Intelligence and Machine Learning Applications in Sudden Cardiac Arrest Prediction and Management: A Comprehensive Review. Curr Cardiol Rep. 2023;25(11):1391-6.

Atkins D, Makridis CA, Alterovitz G, Ramoni R, Clancy C. Developing and Implementing Predictive Models in a Learning Healthcare System: Traditional and Artificial Intelligence Approaches in the Veterans Health Administration. Annu Rev Biomed Data Sci. 2022;5:393-413.

Auger SD, Jacobs BM, Dobson R, Marshall CR, Noyce AJ. Big data, machine learning and artificial intelligence: a neurologist's guide. Pract Neurol. 2020;21(1):4-11.

Bahl M. Artificial Intelligence: A Primer for Breast Imaging Radiologists. J Breast Imaging. 2020;2(4):304-14.

Bakshi SK, Lin SR, Ting DSW, Chiang MF, Chodosh J. The era of artificial intelligence and virtual reality: transforming surgical education in ophthalmology. Br J Ophthalmol. 2021;105(10):1325-8.

Banerjee S, Goyal S, Mishra S, Gupta D, Bisht SS, K V, et al. Artificial intelligence in brachytherapy: a summary of recent developments. Br J Radiol. 2021;94(1122):20200842.

Barbieri D, Giuliani E, Del Prete A, Losi A, Villani M, Barbieri A. How Artificial Intelligence and New Technologies Can Help the Management of the COVID-19 Pandemic. Int J Environ Res Public Health. 2021;18(14).

Barboi C, Tzavelis A, Muhammad LN. Comparison of Severity of Illness Scores and Artificial Intelligence Models That Are Predictive of Intensive Care Unit Mortality: Meta-analysis and Review of the Literature. JMIR Med Inform. 2022;10(5):e35293.

Barrero-Castillero A, Corwin BK, VanderVeen DK, Wang JC. Workforce Shortage for Retinopathy of Prematurity Care and Emerging Role of Telehealth and Artificial Intelligence. Pediatr Clin North Am. 2020;67(4):725-33.

Barrett M, Boyne J, Brandts J, Brunner-La Rocca HP, De Maesschalck L, De Wit K, et al. Artificial intelligence supported patient self-care in chronic heart failure: a paradigm shift from reactive to predictive, preventive and personalised care. Epma j. 2019;10(4):445-64.

Barua PD, Vicnesh J, Lih OS, Palmer EE, Yamakawa T, Kobayashi M, et al. Artificial intelligence assisted tools for the detection of anxiety and depression leading to suicidal ideation in adolescents: a review. Cogn Neurodyn. 2022:1-22.

Basile AO, Yahi A, Tatonetti NP. Artificial Intelligence for Drug Toxicity and Safety. Trends Pharmacol Sci. 2019;40(9):624-35.

Batra P, Tagra H, Katyal S. Artificial Intelligence in Teledentistry. Discoveries (Craiova). 2022;10(3):153.

Battineni G, Chintalapudi N, Hossain MA, Losco G, Ruocco C, Sagaro GG, et al. Artificial Intelligence Models in the Diagnosis of Adult-Onset Dementia Disorders: A Review. Bioengineering (Basel). 2022;9(8).

Berbís MA, Aneiros-Fernández J, Mendoza Olivares FJ, Nava E, Luna A. Role of artificial intelligence in multidisciplinary imaging diagnosis of gastrointestinal diseases. World J Gastroenterol. 2021;27(27):4395-412.

Bhatt P, Liu J, Gong Y, Wang J, Guo Y. Emerging Artificial Intelligence-Empowered mHealth: Scoping Review. JMIR Mhealth Uhealth. 2022;10(6):e35053.

Bonny T, Al Nassan W, Obaideen K, Al Mallahi MN, Mohammad Y, El-Damanhoury HM. Contemporary Role and Applications of Artificial Intelligence in Dentistry. F1000Res. 2023;12:1179.

Bragazzi NL, Dai H, Damiani G, Behzadifar M, Martini M, Wu J. How Big Data and Artificial Intelligence Can Help Better Manage the COVID-19 Pandemic. Int J Environ Res Public Health. 2020;17(9).

Calderaro J, Seraphin TP, Luedde T, Simon TG. Artificial intelligence for the prevention and clinical management of hepatocellular carcinoma. J Hepatol. 2022;76(6):1348-61.

Campbell CG, Ting DSW, Keane PA, Foster PJ. The potential application of artificial intelligence for diagnosis and management of glaucoma in adults. Br Med Bull. 2020;134(1):21-33.

Canales C, Lee C, Cannesson M. Science Without Conscience Is but the Ruin of the Soul: The Ethics of Big Data and Artificial Intelligence in Perioperative Medicine. Anesth Analg. 2020;130(5):1234-43.

Cao CL, Li QL, Tong J, Shi LN, Li WX, Xu Y, et al. Artificial intelligence in thyroid ultrasound. Front Oncol. 2023;13:1060702.

Castaldo A, De Lucia DR, Pontillo G, Gatti M, Cocozza S, Ugga L, et al. State of the Art in Artificial Intelligence and Radiomics in Hepatocellular Carcinoma. Diagnostics (Basel). 2021;11(7).

Cau R, Flanders A, Mannelli L, Politi C, Faa G, Suri JS, et al. Artificial intelligence in computed tomography plaque characterization: A review. Eur J Radiol. 2021;140:109767.

Cesario A, D'Oria M, Calvani R, Picca A, Pietragalla A, Lorusso D, et al. The Role of Artificial Intelligence in Managing Multimorbidity and Cancer. J Pers Med. 2021;11(4).

Chaikijurajai T, Laffin LJ, Tang WHW. Artificial Intelligence and Hypertension: Recent Advances and Future Outlook. Am J Hypertens. 2020;33(11):967-74.

Chang AC. Primary prevention of sudden cardiac death of the young athlete: the controversy about the screening electrocardiogram and its innovative artificial intelligence solution. Pediatr Cardiol. 2012;33(3):428-33.

Chee ML, Chee ML, Huang H, Mazzochi K, Taylor K, Wang H, et al. Artificial intelligence and machine learning in prehospital emergency care: A scoping review. iScience. 2023;26(8):107407.

Cheung HC, De Louche C, Komorowski M. Artificial Intelligence Applications in Space Medicine. Aerosp Med Hum Perform. 2023;94(8):610-22.

Chong JH, Abdulkareem M, Petersen SE, Khanji MY. Artificial Intelligence and Cardiovascular Magnetic Resonance Imaging in Myocardial Infarction Patients. Curr Probl Cardiol. 2022;47(12):101330.

Christou CD, Tsoulfas G. Challenges and opportunities in the application of artificial intelligence in gastroenterology and hepatology. World J Gastroenterol. 2021;27(37):6191-223.

Ciccarelli M, Giallauria F, Carrizzo A, Visco V, Silverio A, Cesaro A, et al. Artificial intelligence in cardiovascular prevention: new ways will open new doors. J Cardiovasc Med (Hagerstown). 2023;24(Suppl 2):e106-e15.

Ciecierski-Holmes T, Singh R, Axt M, Brenner S, Barteit S. Artificial intelligence for strengthening healthcare systems in low- and middle-income countries: a systematic scoping review. NPJ Digit Med. 2022;5(1):162.

Cirillo D, Catuara-Solarz S, Morey C, Guney E, Subirats L, Mellino S, et al. Sex and gender differences and biases in artificial intelligence for biomedicine and healthcare. NPJ Digit Med. 2020;3:81.

Coan LJ, Williams BM, Krishna Adithya V, Upadhyaya S, Alkafri A, Czanner S, et al. Automatic detection of glaucoma via fundus imaging and artificial intelligence: A review. Surv Ophthalmol. 2023;68(1):17-41.

Cohen EB, Gordon IK. First, do no harm. Ethical and legal issues of artificial intelligence and machine learning in veterinary radiology and radiation oncology. Vet Radiol Ultrasound. 2022;63 Suppl 1(Suppl 1):840-50.

Contreras I, Vehi J. Artificial Intelligence for Diabetes Management and Decision Support: Literature Review. J Med Internet Res. 2018;20(5):e10775.

Corban J, Lorange JP, Laverdiere C, Khoury J, Rachevsky G, Burman M, et al. Artificial Intelligence in the Management of Anterior Cruciate Ligament Injuries. Orthop J Sports Med. 2021;9(7):23259671211014206.

Corti C, Cobanaj M, Dee EC, Criscitiello C, Tolaney SM, Celi LA, et al. Artificial intelligence in cancer research and precision medicine: Applications, limitations and priorities to drive transformation in the delivery of equitable and unbiased care. Cancer Treat Rev. 2023;112:102498.

Covas P, De Guzman E, Barrows I, Bradley AJ, Choi BG, Krepp JM, et al. Artificial Intelligence Advancements in the Cardiovascular Imaging of Coronary Atherosclerosis. Front Cardiovasc Med. 2022;9:839400.

Dabla PK, Gruson D, Gouget B, Bernardini S, Homsak E. Lessons Learned from the COVID-19 Pandemic: Emphasizing the Emerging Role and Perspectives from Artificial Intelligence, Mobile Health, and Digital Laboratory Medicine. Ejifcc. 2021;32(2):224-43.

Dai JC, Johnson BA. Artificial intelligence in endourology: emerging technology for individualized care. Curr Opin Urol. 2022;32(4):379-92.

Dande P, Samant P. Acquaintance to Artificial Neural Networks and use of artificial intelligence as a diagnostic tool for tuberculosis: A review. Tuberculosis (Edinb). 2018;108:1-9.

Danso SO, Muniz-Terrera G, Luz S, Ritchie C. Application of Big Data and Artificial Intelligence technologies to dementia prevention research: an opportunity for low-and-middle-income countries. J Glob Health. 2019;9(2):020322.

de Queiroz Tavares Borges Mesquita G, Vieira WA, Vidigal MTC, Travençolo BAN, Beaini TL, Spin-Neto R, et al. Artificial Intelligence for Detecting Cephalometric Landmarks: A Systematic Review and Meta-analysis. J Digit Imaging. 2023;36(3):1158-79.

Deng Y, Qin HY, Zhou YY, Liu HH, Jiang Y, Liu JP, et al. Artificial intelligence applications in pathological diagnosis of gastric cancer. Heliyon. 2022;8(12):e12431.

Deniz-Garcia A, Fabelo H, Rodriguez-Almeida AJ, Zamora-Zamorano G, Castro-Fernandez M, Alberiche Ruano MDP, et al. Quality, Usability, and Effectiveness of mHealth Apps and the Role of Artificial Intelligence: Current Scenario and Challenges. J Med Internet Res. 2023;25:e44030.

Dilsizian ME, Siegel EL. Machine Meets Biology: a Primer on Artificial Intelligence in Cardiology and Cardiac Imaging. Curr Cardiol Rep. 2018;20(12):139.

Dindorf C, Bartaguiz E, Gassmann F, Fröhlich M. Conceptual Structure and Current Trends in Artificial Intelligence, Machine Learning, and Deep Learning Research in Sports: A Bibliometric Review. Int J Environ Res Public Health. 2022;20(1).

Dlamini Z, Francies FZ, Hull R, Marima R. Artificial intelligence (AI) and big data in cancer and precision oncology. Comput Struct Biotechnol J. 2020;18:2300-11.

Doherty A, Wall A, Khaldi N, Kussmann M. Artificial Intelligence in Functional Food Ingredient Discovery and Characterisation: A Focus on Bioactive Plant and Food Peptides. Front Genet. 2021;12:768979.

Dong J, Wu H, Zhou D, Li K, Zhang Y, Ji H, et al. Application of Big Data and Artificial Intelligence in COVID-19 Prevention, Diagnosis, Treatment and Management Decisions in China. J Med Syst. 2021;45(9):84.

Donisi L, Cesarelli G, Pisani N, Ponsiglione AM, Ricciardi C, Capodaglio E. Wearable Sensors and Artificial Intelligence for Physical Ergonomics: A Systematic Review of Literature. Diagnostics (Basel). 2022;12(12).

Du R, Ohno-Matsui K. Novel Uses and Challenges of Artificial Intelligence in Diagnosing and Managing Eyes with High Myopia and Pathologic Myopia. Diagnostics (Basel). 2022;12(5).

Dumitru M, Berghi ON, Taciuc IA, Vrinceanu D, Manole F, Costache A. Could Artificial Intelligence Prevent Intraoperative Anaphylaxis? Reference Review and Proof of Concept. Medicina (Kaunas). 2022;58(11).

Edavally S, Miller DD, Youssef NA. Artificial intelligence to aid detection and diagnostic accuracy of mood disorders and predict suicide risk: A systematic review. Ann Clin Psychiatry. 2021;33(4):270-81.

Eldaly AS, Avila FR, Torres-Guzman RA, Maita K, Garcia JP, Serrano LP, et al. Artificial intelligence and lymphedema: State of the art. J Clin Transl Res. 2022;8(3):234-42.

Enriquez JS, Chu Y, Pudakalakatti S, Hsieh KL, Salmon D, Dutta P, et al. Hyperpolarized Magnetic Resonance and Artificial Intelligence: Frontiers of Imaging in Pancreatic Cancer. JMIR Med Inform. 2021;9(6):e26601.

Federspiel F, Mitchell R, Asokan A, Umana C, McCoy D. Threats by artificial intelligence to human health and human existence. BMJ Glob Health. 2023;8(5).

Feng Y, Wang Y, Zeng C, Mao H. Artificial Intelligence and Machine Learning in Chronic Airway Diseases: Focus on Asthma and Chronic Obstructive Pulmonary Disease. Int J Med Sci. 2021;18(13):2871-89.

Ferrante G, Licari A, Fasola S, Marseglia GL, La Grutta S. Artificial intelligence in the diagnosis of pediatric allergic diseases. Pediatr Allergy Immunol. 2021;32(3):405-13.

Fiske A, Henningsen P, Buyx A. Your Robot Therapist Will See You Now: Ethical Implications of Embodied Artificial Intelligence in Psychiatry, Psychology, and Psychotherapy. J Med Internet Res. 2019;21(5):e13216.

Fitzpatrick F, Doherty A, Lacey G. Using Artificial Intelligence in Infection Prevention. Curr Treat Options Infect Dis. 2020;12(2):135-44.

Fogel AL, Kvedar JC. Artificial intelligence powers digital medicine. NPJ Digit Med. 2018;1:5.

Fonseka TM, Bhat V, Kennedy SH. The utility of artificial intelligence in suicide risk prediction and the management of suicidal behaviors. Aust N Z J Psychiatry. 2019;53(10):954-64.

Galetsi P, Katsaliaki K, Kumar S. The medical and societal impact of big data analytics and artificial intelligence applications in combating pandemics: A review focused on Covid-19. Soc Sci Med. 2022;301:114973.

Gaweda AE, Lederer ED, Brier ME. Use of Artificial Intelligence to Identify New Mechanisms and Approaches to Therapy of Bone Disorders Associated With Chronic Kidney Disease. Front Med (Lausanne). 2022;9:807994.

Gedefaw L, Liu CF, Ip RKL, Tse HF, Yeung MHY, Yip SP, et al. Artificial Intelligence-Assisted Diagnostic Cytology and Genomic Testing for Hematologic Disorders. Cells. 2023;12(13).

Gensure RH, Chiang MF, Campbell JP. Artificial intelligence for retinopathy of prematurity. Curr Opin Ophthalmol. 2020;31(5):312-7.

Giordano C, Brennan M, Mohamed B, Rashidi P, Modave F, Tighe P. Accessing Artificial Intelligence for Clinical Decision-Making. Front Digit Health. 2021;3:645232.

Goh JHL, Lim ZW, Fang X, Anees A, Nusinovici S, Rim TH, et al. Artificial Intelligence for Cataract Detection and Management. Asia Pac J Ophthalmol (Phila). 2020;9(2):88-95.

Goldust Y, Sameem F, Mearaj S, Gupta A, Patil A, Goldust M. COVID-19 and artificial intelligence: Experts and dermatologists perspective. J Cosmet Dermatol. 2023;22(1):11-5.

Gombolay GY, Gopalan N, Bernasconi A, Nabbout R, Megerian JT, Siegel B, et al. Review of Machine Learning and Artificial Intelligence (ML/AI) for the Pediatric Neurologist. Pediatr Neurol. 2023;141:42-51.

Goswami R. The current state of artificial intelligence in cardiac transplantation. Curr Opin Organ Transplant. 2021;26(3):296-301.

Graham SA, Lee EE, Jeste DV, Van Patten R, Twamley EW, Nebeker C, et al. Artificial intelligence approaches to predicting and detecting cognitive decline in older adults: A conceptual review. Psychiatry Res. 2020;284:112732.

Grech V, Cuschieri S, Eldawlatly AA. Artificial intelligence in medicine and research - the good, the bad, and the ugly. Saudi J Anaesth. 2023;17(3):401-6.

Guan Z, Li H, Liu R, Cai C, Liu Y, Li J, et al. Artificial intelligence in diabetes management: Advancements, opportunities, and challenges. Cell Rep Med. 2023;4(10):101213.

Guerrisi A, Falcone I, Valenti F, Rao M, Gallo E, Ungania S, et al. Artificial Intelligence and Advanced Melanoma: Treatment Management Implications. Cells. 2022;11(24).

Hamamoto R, Komatsu M, Takasawa K, Asada K, Kaneko S. Epigenetics Analysis and Integrated Analysis of Multiomics Data, Including Epigenetic Data, Using Artificial Intelligence in the Era of Precision Medicine. Biomolecules. 2019;10(1).

Haq IU, Haq I, Xu B. Artificial intelligence in personalized cardiovascular medicine and cardiovascular imaging. Cardiovasc Diagn Ther. 2021;11(3):911-23.

Hartmann M, Fenton N, Dobson R. Current review and next steps for artificial intelligence in multiple sclerosis risk research. Comput Biol Med. 2021;132:104337.

Hasan MM, Islam MU, Sadeq MJ, Fung WK, Uddin J. Review on the Evaluation and Development of Artificial Intelligence for COVID-19 Containment. Sensors (Basel). 2023;23(1).

Hauben M. Artificial intelligence in pharmacovigilance: Do we need explainability? Pharmacoepidemiol Drug Saf. 2022;31(12):1311-6.

Hegde S, Ajila V, Zhu W, Zeng C. Artificial intelligence in early diagnosis and prevention of oral cancer. Asia Pac J Oncol Nurs. 2022;9(12):100133.

Holmström L, Zhang FZ, Ouyang D, Dey D, Slomka PJ, Chugh SS. Artificial Intelligence in Ventricular Arrhythmias and Sudden Death. Arrhythm Electrophysiol Rev. 2023;12:e17.

Hou X, Shen G, Zhou L, Li Y, Wang T, Ma X. Artificial Intelligence in Cervical Cancer Screening and Diagnosis. Front Oncol. 2022;12:851367.

Howard J. Artificial intelligence: Implications for the future of work. Am J Ind Med. 2019;62(11):917-26.

Huang JD, Wang J, Ramsey E, Leavey G, Chico TJA, Condell J. Applying Artificial Intelligence to Wearable Sensor Data to Diagnose and Predict Cardiovascular Disease: A Review. Sensors (Basel). 2022;22(20).

Huang Q, Peng S, Deng J, Zeng H, Zhang Z, Liu Y, et al. A review of the application of artificial intelligence to nuclear reactors: Where we are and what's next. Heliyon. 2023;9(3):e13883.

Hung KF, Yeung AWK, Bornstein MM, Schwendicke F. Personalized dental medicine, artificial intelligence, and their relevance for dentomaxillofacial imaging. Dentomaxillofac Radiol. 2023;52(1):20220335.

Hunt X, Tomlinson M, Sikander S, Skeen S, Marlow M, du Toit S, et al. Artificial Intelligence, Big Data, and mHealth: The Frontiers of the Prevention of Violence Against Children. Front Artif Intell. 2020;3:543305.

Huqh MZU, Abdullah JY, Wong LS, Jamayet NB, Alam MK, Rashid QF, et al. Clinical Applications of Artificial Intelligence and Machine Learning in Children with Cleft Lip and Palate-A Systematic Review. Int J Environ Res Public Health. 2022;19(17).

Ienca M, Ignatiadis K. Artificial Intelligence in Clinical Neuroscience: Methodological and Ethical Challenges. AJOB Neurosci. 2020;11(2):77-87.

Iqbal MS, Abd-Alrazaq A, Househ M. Artificial Intelligence Solutions to Detect Fraud in Healthcare Settings: A Scoping Review. Stud Health Technol Inform. 2022;295:20-3.

Jamthikar AD, Gupta D, Saba L, Khanna NN, Viskovic K, Mavrogeni S, et al. Artificial intelligence framework for predictive cardiovascular and stroke risk assessment models: A narrative review of integrated approaches using carotid ultrasound. Comput Biol Med. 2020;126:104043.

Jemioło P, Storman D, Mamica M, Szymkowski M, Żabicka W, Wojtaszek-Główka M, et al. Datasets for Automated Affect and Emotion Recognition from Cardiovascular Signals Using Artificial Intelligence- A Systematic Review. Sensors (Basel). 2022;22(7).

Jemioło P, Storman D, Orzechowski P. Artificial Intelligence for COVID-19 Detection in Medical Imaging-Diagnostic Measures and Wasting-A Systematic Umbrella Review. J Clin Med. 2022;11(7).

Jiang S, Ma J, Liu Z, Guo H. Scientometric Analysis of Artificial Intelligence (AI) for Geohazard Research. Sensors (Basel). 2022;22(20).

Jiang Y, Yang M, Wang S, Li X, Sun Y. Emerging role of deep learning-based artificial intelligence in tumor pathology. Cancer Commun (Lond). 2020;40(4):154-66.

Jiao Z, Ji H, Yan J, Qi X. Application of big data and artificial intelligence in epidemic surveillance and containment. Intell Med. 2023;3(1):36-43.

Jobson D, Mar V, Freckelton I. Legal and ethical considerations of artificial intelligence in skin cancer diagnosis. Australas J Dermatol. 2022;63(1):e1-e5.

Johnson AE, Brewer LC, Echols MR, Mazimba S, Shah RU, Breathett K. Utilizing Artificial Intelligence to Enhance Health Equity Among Patients with Heart Failure. Heart Fail Clin. 2022;18(2):259-73.

Junaid N, Khan N, Ahmed N, Abbasi MS, Das G, Maqsood A, et al. Development, Application, and Performance of Artificial Intelligence in Cephalometric Landmark Identification and Diagnosis: A Systematic Review. Healthcare (Basel). 2022;10(12).

Kaul V, Enslin S, Gross SA. History of artificial intelligence in medicine. Gastrointest Endosc. 2020;92(4):807-12.

Kearney V, Chan JW, Valdes G, Solberg TD, Yom SS. The application of artificial intelligence in the IMRT planning process for head and neck cancer. Oral Oncol. 2018;87:111-6.

Kenner B, Chari ST, Kelsen D, Klimstra DS, Pandol SJ, Rosenthal M, et al. Artificial Intelligence and Early Detection of Pancreatic Cancer: 2020 Summative Review. Pancreas. 2021;50(3):251-79.

Keskinbora K, Güven F. Artificial Intelligence and Ophthalmology. Turk J Ophthalmol. 2020;50(1):37-43.

Keskinbora KH. Medical ethics considerations on artificial intelligence. J Clin Neurosci. 2019;64:277-82.

Khan B, Fatima H, Qureshi A, Kumar S, Hanan A, Hussain J, et al. Drawbacks of Artificial Intelligence and Their Potential Solutions in the Healthcare Sector. Biomed Mater Devices. 2023:1-8.

Khanagar SB, Al-Ehaideb A, Maganur PC, Vishwanathaiah S, Patil S, Baeshen HA, et al. Developments, application, and performance of artificial intelligence in dentistry - A systematic review. J Dent Sci. 2021;16(1):508-22.

Khanagar SB, Al-Ehaideb A, Vishwanathaiah S, Maganur PC, Patil S, Naik S, et al. Scope and performance of artificial intelligence technology in orthodontic diagnosis, treatment planning, and clinical decision-making - A systematic review. J Dent Sci. 2021;16(1):482-92.

Khanagar SB, Alfadley A, Alfouzan K, Awawdeh M, Alaqla A, Jamleh A. Developments and Performance of Artificial Intelligence Models Designed for Application in Endodontics: A Systematic Review. Diagnostics (Basel). 2023;13(3).

Khanagar SB, Alfouzan K, Awawdeh M, Alkadi L, Albalawi F, Alfadley A. Application and Performance of Artificial Intelligence Technology in Detection, Diagnosis and Prediction of Dental Caries (DC)-A Systematic Review. Diagnostics (Basel). 2022;12(5).

Khanagar SB, Alkadi L, Alghilan MA, Kalagi S, Awawdeh M, Bijai LK, et al. Application and Performance of Artificial Intelligence (AI) in Oral Cancer Diagnosis and Prediction Using Histopathological Images: A Systematic Review. Biomedicines. 2023;11(6).

Khanagar SB, Naik S, Al Kheraif AA, Vishwanathaiah S, Maganur PC, Alhazmi Y, et al. Application and Performance of Artificial Intelligence Technology in Oral Cancer Diagnosis and Prediction of Prognosis: A Systematic Review. Diagnostics (Basel). 2021;11(6).

Khanna NN, Maindarkar M, Puvvula A, Paul S, Bhagawati M, Ahluwalia P, et al. Vascular Implications of COVID-19: Role of Radiological Imaging, Artificial Intelligence, and Tissue Characterization: A Special Report. J Cardiovasc Dev Dis. 2022;9(8).

Koçak B, Cuocolo R, dos Santos DP, Stanzione A, Ugga L. Must-have Qualities of Clinical Research on Artificial Intelligence and Machine Learning. Balkan Med J. 2023;40(1):3-12.

Kondo I, Ozaki K, Osawa A. [Support for Patients and Their Family Using Artificial Intelligence]. Brain Nerve. 2019;71(7):759-64.

Kudo SE, Mori Y, Misawa M, Takeda K, Kudo T, Itoh H, et al. Artificial intelligence and colonoscopy: Current status and future perspectives. Dig Endosc. 2019;31(4):363-71.

Küster D, Schultz T. [Artificial intelligence and ethics in healthcare-balancing act or symbiosis?]. Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz. 2023;66(2):176-83.

Lachance CC, Walter M. CADTH Rapid Response Reports. Artificial Intelligence for Classification of Lung Nodules: A Review of Clinical Utility, Diagnostic Accuracy, Cost-Effectiveness, and Guidelines. Ottawa (ON): Canadian Agency for Drugs and Technologies in Health

Copyright © 2020 Canadian Agency for Drugs and Technologies in Health.; 2020.

Lai JW, Ang CKE, Acharya UR, Cheong KH. Schizophrenia: A Survey of Artificial Intelligence Techniques Applied to Detection and Classification. Int J Environ Res Public Health. 2021;18(11).

Lareyre F, Yeung KK, Guzzi L, Di Lorenzo G, Chaudhuri A, Behrendt CA, et al. Artificial intelligence in vascular surgical decision making. Semin Vasc Surg. 2023;36(3):448-53.

Larson DB, Harvey H, Rubin DL, Irani N, Tse JR, Langlotz CP. Regulatory Frameworks for Development and Evaluation of Artificial Intelligence-Based Diagnostic Imaging Algorithms: Summary and Recommendations. J Am Coll Radiol. 2021;18(3 Pt A):413-24.

Lee EE, Torous J, De Choudhury M, Depp CA, Graham SA, Kim HC, et al. Artificial Intelligence for Mental Health Care: Clinical Applications, Barriers, Facilitators, and Artificial Wisdom. Biol Psychiatry Cogn Neurosci Neuroimaging. 2021;6(9):856-64.

Lee H, Chung MA, Kim H, Nam EW. The Effect of Cognitive Function Health Care Using Artificial Intelligence Robots for Older Adults: Systematic Review and Meta-analysis. JMIR Aging. 2022;5(2):e38896.

Lejeune A, Le Glaz A, Perron PA, Sebti J, Baca-Garcia E, Walter M, et al. Artificial intelligence and suicide prevention: a systematic review. Eur Psychiatry. 2022;65(1):1-22.

Li JW, Wang LM, Ang TL. Artificial intelligence-assisted colonoscopy: a narrative review of current data and clinical applications. Singapore Med J. 2022;63(3):118-24.

Li R, Wang X, Lawler K, Garg S, Bai Q, Alty J. Applications of artificial intelligence to aid early detection of dementia: A scoping review on current capabilities and future directions. J Biomed Inform. 2022;127:104030.

Li Y, Yip MYT, Ting DSW, Ang M. Artificial intelligence and digital solutions for myopia. Taiwan J Ophthalmol. 2023;13(2):142-50.

Li Z, Keel S, Liu C, He M. Can Artificial Intelligence Make Screening Faster, More Accurate, and More Accessible? Asia Pac J Ophthalmol (Phila). 2018;7(6):436-41.

Liu Z, Wang X, Ma Y, Lin Y, Wang G. Artificial intelligence in psoriasis: Where we are and where we are going. Exp Dermatol. 2023;32(11):1884-99.

Loftus TJ, Tighe PJ, Filiberto AC, Efron PA, Brakenridge SC, Mohr AM, et al. Artificial Intelligence and Surgical Decision-making. JAMA Surg. 2020;155(2):148-58.

Luk SMH, Ford EC, Phillips MH, Kalet AM. Improving the Quality of Care in Radiation Oncology using Artificial Intelligence. Clin Oncol (R Coll Radiol). 2022;34(2):89-98.

Lynn LA. Artificial intelligence systems for complex decision-making in acute care medicine: a review. Patient Saf Surg. 2019;13:6.

Malhotra K, Wong BNX, Lee S, Franco H, Singh C, Cabrera Silva LA, et al. Role of Artificial Intelligence in Global Surgery: A Review of Opportunities and Challenges. Cureus. 2023;15(8):e43192.

Manetas-Stavrakakis N, Sotiropoulou IM, Paraskevas T, Maneta Stavrakaki S, Bampatsias D, Xanthopoulos A, et al. Accuracy of Artificial Intelligence-Based Technologies for the Diagnosis of Atrial Fibrillation: A Systematic Review and Meta-Analysis. J Clin Med. 2023;12(20).

Manlhiot C, van den Eynde J, Kutty S, Ross HJ. A Primer on the Present State and Future Prospects for Machine Learning and Artificial Intelligence Applications in Cardiology. Can J Cardiol. 2022;38(2):169-84.

Marciano F, Venutolo G, Ingenito CM, Verbeni A, Terracciano C, Plunk E, et al. Artificial Intelligence: the "Trait D'Union" in Different Analysis Approaches of Autism Spectrum Disorder Studies. Curr Med Chem. 2021;28(32):6591-618.

Marcus JL, Sewell WC, Balzer LB, Krakower DS. Artificial Intelligence and Machine Learning for HIV Prevention: Emerging Approaches to Ending the Epidemic. Curr HIV/AIDS Rep. 2020;17(3):171-9.

Martínez-Romero M, Vázquez-Naya JM, Rabuñal JR, Pita-Fernández S, Macenlle R, Castro-Alvariño J, et al. Artificial intelligence techniques for colorectal cancer drug metabolism: ontology and complex network. Curr Drug Metab. 2010;11(4):347-68.

Martorell A, Martin-Gorgojo A, Ríos-Viñuela E, Rueda-Carnero JM, Alfageme F, Taberner R. Artificial Intelligence in Dermatology: A Threat or an Opportunity? Actas Dermosifiliogr. 2022;113(1):30-46.

Massalha S, Clarkin O, Thornhill R, Wells G, Chow BJW. Decision Support Tools, Systems, and Artificial Intelligence in Cardiac Imaging. Can J Cardiol. 2018;34(7):827-38.

Mehta N, Shukla S. Pandemic Analytics: How Countries are Leveraging Big Data Analytics and Artificial Intelligence to Fight COVID-19? SN Comput Sci. 2022;3(1):54.

Mekov E, Miravitlles M, Petkov R. Artificial intelligence and machine learning in respiratory medicine. Expert Rev Respir Med. 2020;14(6):559-64.

Mendelson EB. Artificial Intelligence in Breast Imaging: Potentials and Limitations. AJR Am J Roentgenol. 2019;212(2):293-9.

Miller DD, Brown EW. Artificial Intelligence in Medical Practice: The Question to the Answer? Am J Med. 2018;131(2):129-33.

Mina A. Big data and artificial intelligence in future patient management. How is it all started? Where are we at now? Quo tendimus? Adv Lab Med. 2020;1(3):20200014.

Miragall MF, Knoedler S, Kauke-Navarro M, Saadoun R, Grabenhorst A, Grill FD, et al. Face the Future-Artificial Intelligence in Oral and Maxillofacial Surgery. J Clin Med. 2023;12(21).

Mitsala A, Tsalikidis C, Pitiakoudis M, Simopoulos C, Tsaroucha AK. Artificial Intelligence in Colorectal Cancer Screening, Diagnosis and Treatment. A New Era. Curr Oncol. 2021;28(3):1581-607.

Mohanty E, Mohanty A. Role of artificial intelligence in peptide vaccine design against RNA viruses. Inform Med Unlocked. 2021;26:100768.

Moingeon P, Kuenemann M, Guedj M. Artificial intelligence-enhanced drug design and development: Toward a computational precision medicine. Drug Discov Today. 2022;27(1):215-22.

Mörch CM, Atsu S, Cai W, Li X, Madathil SA, Liu X, et al. Artificial Intelligence and Ethics in Dentistry: A Scoping Review. J Dent Res. 2021;100(13):1452-60.

Morgan MB, Mates JL. Applications of Artificial Intelligence in Breast Imaging. Radiol Clin North Am. 2021;59(1):139-48.

Mouloodi S, Rahmanpanah H, Gohari S, Burvill C, Tse KM, Davies HMS. What can artificial intelligence and machine learning tell us? A review of applications to equine biomechanical research. J Mech Behav Biomed Mater. 2021;123:104728.

Nakamura T, Sasano T. Artificial intelligence and cardiology: Current status and perspective. J Cardiol. 2022;79(3):326-33.

Naseem M, Akhund R, Arshad H, Ibrahim MT. Exploring the Potential of Artificial Intelligence and Machine Learning to Combat COVID-19 and Existing Opportunities for LMIC: A Scoping Review. J Prim Care Community Health. 2020;11:2150132720963634.

Newby D, Orgeta V, Marshall CR, Lourida I, Albertyn CP, Tamburin S, et al. Artificial intelligence for dementia prevention. Alzheimers Dement. 2023.

Nguyen HT, Nguyen KTQ, Le TC, Zhang G. Review on the Use of Artificial Intelligence to Predict Fire Performance of Construction Materials and Their Flame Retardancy. Molecules. 2021;26(4).

Nishida N, Kudo M. Artificial Intelligence in Medical Imaging and Its Application in Sonography for the Management of Liver Tumor. Front Oncol. 2020;10:594580.

Noorbakhsh-Sabet N, Zand R, Zhang Y, Abedi V. Artificial Intelligence Transforms the Future of Health Care. Am J Med. 2019;132(7):795-801.

Noy I, Uher T. Four New Horsemen of an Apocalypse? Solar Flares, Super-volcanoes, Pandemics, and Artificial Intelligence. Econ Disaster Clim Chang. 2022;6(2):393-416.

O'Connor S, Gasteiger N, Stanmore E, Wong DC, Lee JJ. Artificial intelligence for falls management in older adult care: A scoping review of nurses' role. J Nurs Manag. 2022;30(8):3787-801.

Osztrogonacz P, Chinnadurai P, Lumsden AB. Emerging Applications for Computer Vision and Artificial Intelligence in Management of the Cardiovascular Patient. Methodist Debakey Cardiovasc J. 2023;19(4):17-23.

Ozrazgat-Baslanti T, Loftus TJ, Ren Y, Ruppert MM, Bihorac A. Advances in artificial intelligence and deep learning systems in ICU-related acute kidney injury. Curr Opin Crit Care. 2021;27(6):560-72.

Palavicini G. Intelligent Health: Progress and Benefit of Artificial Intelligence in Sensing-Based Monitoring and Disease Diagnosis. Sensors (Basel). 2023;23(22).

Pandit N, Vanak AT. Artificial Intelligence and One Health: Knowledge Bases for Causal Modeling. J Indian Inst Sci. 2020;100(4):717-23.

Parvatikar PP, Patil S, Khaparkhuntikar K, Patil S, Singh PK, Sahana R, et al. Artificial intelligence: Machine learning approach for screening large database and drug discovery. Antiviral Res. 2023;220:105740.

Patel UK, Anwar A, Saleem S, Malik P, Rasul B, Patel K, et al. Artificial intelligence as an emerging technology in the current care of neurological disorders. J Neurol. 2021;268(5):1623-42.

Patil S, Albogami S, Hosmani J, Mujoo S, Kamil MA, Mansour MA, et al. Artificial Intelligence in the Diagnosis of Oral Diseases: Applications and Pitfalls. Diagnostics (Basel). 2022;12(5).

Pieczynski J, Kuklo P, Grzybowski A. The Role of Telemedicine, In-Home Testing and Artificial Intelligence to Alleviate an Increasingly Burdened Healthcare System: Diabetic Retinopathy. Ophthalmol Ther. 2021;10(3):445-64.

Pilozzi A, Huang X. Overcoming Alzheimer's Disease Stigma by Leveraging Artificial Intelligence and Blockchain Technologies. Brain Sci. 2020;10(3).

Popescu Patoni SI, Muşat AAM, Patoni C, Popescu MN, Munteanu M, Costache IB, et al. Artificial intelligence in ophthalmology. Rom J Ophthalmol. 2023;67(3):207-13.

Prabhakar B, Singh RK, Yadav KS. Artificial intelligence (AI) impacting diagnosis of glaucoma and understanding the regulatory aspects of AI-based software as medical device. Comput Med Imaging Graph. 2021;87:101818.

Qamar A, Bangi SF, Barve R. Artificial Intelligence Applications in Diagnosing and Managing Non-syndromic Craniosynostosis: A Comprehensive Review. Cureus. 2023;15(9):e45318.

Rabaan AA, Bakhrebah MA, Alotaibi J, Natto ZS, Alkhaibari RS, Alawad E, et al. Unleashing the power of artificial intelligence for diagnosing and treating infectious diseases: A comprehensive review. J Infect Public Health. 2023;16(11):1837-47.

Radanliev P, De Roure D, Maple C, Ani U. Super-forecasting the 'technological singularity' risks from artificial intelligence. Evol Syst (Berl). 2022;13(5):747-57.

Ranson JM, Bucholc M, Lyall D, Newby D, Winchester L, Oxtoby NP, et al. Harnessing the potential of machine learning and artificial intelligence for dementia research. Brain Inform. 2023;10(1):6.

Rao HB, Sastry NB, Venu RP, Pattanayak P. The role of artificial intelligence based systems for cost optimization in colorectal cancer prevention programs. Front Artif Intell. 2022;5:955399.

Rosa V, Ho D, Sabino-Silva R, Siqueira WL, Silikas N. Fighting viruses with materials science: Prospects for antivirus surfaces, drug delivery systems and artificial intelligence. Dent Mater. 2021;37(3):496-507.

Rowe JP, Lester JC. Artificial Intelligence for Personalized Preventive Adolescent Healthcare. J Adolesc Health. 2020;67(2s):S52-s8.

Ruffle JK, Farmer AD, Aziz Q. Artificial Intelligence-Assisted Gastroenterology- Promises and Pitfalls. Am J Gastroenterol. 2019;114(3):422-8.

Russo G, Reche P, Pennisi M, Pappalardo F. The combination of artificial intelligence and systems biology for intelligent vaccine design. Expert Opin Drug Discov. 2020;15(11):1267-81.

Russo V, Lallo E, Munnia A, Spedicato M, Messerini L, D'Aurizio R, et al. Artificial Intelligence Predictive Models of Response to Cytotoxic Chemotherapy Alone or Combined to Targeted Therapy for Metastatic Colorectal Cancer Patients: A Systematic Review and Meta-Analysis. Cancers (Basel). 2022;14(16).

Saba L, Sanagala SS, Gupta SK, Koppula VK, Johri AM, Khanna NN, et al. Multimodality carotid plaque tissue characterization and classification in the artificial intelligence paradigm: a narrative review for stroke application. Ann Transl Med. 2021;9(14):1206.

Saigal K, Patel AB, Lucke-Wold B. Artificial Intelligence and Neurosurgery: Tracking Antiplatelet Response Patterns for Endovascular Intervention. Medicina (Kaunas). 2023;59(10).

Salekin MS, Mouton PR, Zamzmi G, Patel R, Goldgof D, Kneusel M, et al. Future roles of artificial intelligence in early pain management of newborns. Paediatr Neonatal Pain. 2021;3(3):134-45.

Sandys V, Sexton D, O'Seaghdha C. Artificial intelligence and digital health for volume maintenance in hemodialysis patients. Hemodial Int. 2022;26(4):480-95.

Sarker S, Jamal L, Ahmed SF, Irtisam N. Robotics and artificial intelligence in healthcare during COVID-19 pandemic: A systematic review. Rob Auton Syst. 2021;146:103902.

Schena FP, Anelli VW, Abbrescia DI, Di Noia T. Prediction of chronic kidney disease and its progression by artificial intelligence algorithms. J Nephrol. 2022;35(8):1953-71.

Schwalbe N, Wahl B. Artificial intelligence and the future of global health. Lancet. 2020;395(10236):1579-86.

Schwendicke F, Samek W, Krois J. Artificial Intelligence in Dentistry: Chances and Challenges. J Dent Res. 2020;99(7):769-74.

Seneviratne CJ, Balan P, Suriyanarayanan T, Lakshmanan M, Lee DY, Rho M, et al. Oral microbiome-systemic link studies: perspectives on current limitations and future artificial intelligence-based approaches. Crit Rev Microbiol. 2020;46(3):288-99.

Senthilraja M. Application of Artificial Intelligence to Address Issues Related to the COVID-19 Virus. SLAS Technol. 2021;26(2):123-6.

Shaikh F, Andersen MB, Sohail MR, Mulero F, Awan O, Dupont-Roettger D, et al. Current Landscape of Imaging and the Potential Role for Artificial Intelligence in the Management of COVID-19. Curr Probl Diagn Radiol. 2021;50(3):430-5.

Shan T, Tay FR, Gu L. Application of Artificial Intelligence in Dentistry. J Dent Res. 2021;100(3):232-44.

Sharma A, Virmani T, Pathak V, Sharma A, Pathak K, Kumar G, et al. Artificial Intelligence-Based Data-Driven Strategy to Accelerate Research, Development, and Clinical Trials of COVID Vaccine. Biomed Res Int. 2022;2022:7205241.

Sharma P, Hassan C. Artificial Intelligence and Deep Learning for Upper Gastrointestinal Neoplasia. Gastroenterology. 2022;162(4):1056-66.

Sheng B, Chen X, Li T, Ma T, Yang Y, Bi L, et al. An overview of artificial intelligence in diabetic retinopathy and other ocular diseases. Front Public Health. 2022;10:971943.

Shi F, Wang J, Shi J, Wu Z, Wang Q, Tang Z, et al. Review of Artificial Intelligence Techniques in Imaging Data Acquisition, Segmentation, and Diagnosis for COVID-19. IEEE Rev Biomed Eng. 2021;14:4-15.

Sinonquel P, Eelbode T, Bossuyt P, Maes F, Bisschops R. Artificial intelligence and its impact on quality improvement in upper and lower gastrointestinal endoscopy. Dig Endosc. 2021;33(2):242-53.

Smrke U, Mlakar I, Lin S, Musil B, Plohl N. Language, Speech, and Facial Expression Features for Artificial Intelligence-Based Detection of Cancer Survivors' Depression: Scoping Meta-Review. JMIR Ment Health. 2021;8(12):e30439.

Spadaccini M, Massimi D, Mori Y, Alfarone L, Fugazza A, Maselli R, et al. Artificial Intelligence-Aided Endoscopy and Colorectal Cancer Screening. Diagnostics (Basel). 2023;13(6).

Stafie CS, Sufaru IG, Ghiciuc CM, Stafie, II, Sufaru EC, Solomon SM, et al. Exploring the Intersection of Artificial Intelligence and Clinical Healthcare: A Multidisciplinary Review. Diagnostics (Basel). 2023;13(12).

Stoel BC. Artificial intelligence in detecting early RA. Semin Arthritis Rheum. 2019;49(3s):S25-s8.

Su Z, McDonnell D, Bentley BL, He J, Shi F, Cheshmehzangi A, et al. Addressing Biodisaster X Threats With Artificial Intelligence and 6G Technologies: Literature Review and Critical Insights. J Med Internet Res. 2021;23(5):e26109.

Subramanian AK, Chen Y, Almalki A, Sivamurthy G, Kafle D. Cephalometric Analysis in Orthodontics Using Artificial Intelligence-A Comprehensive Review. Biomed Res Int. 2022;2022:1880113.

Subramanian M, Wojtusciszyn A, Favre L, Boughorbel S, Shan J, Letaief KB, et al. Precision medicine in the era of artificial intelligence: implications in chronic disease management. J Transl Med. 2020;18(1):472.

Sun L, Yin C, Xu Q, Zhao W. Artificial intelligence for healthcare and medical education: a systematic review. Am J Transl Res. 2023;15(7):4820-8.

Sutton RA, Sharma P. Overcoming barriers to implementation of artificial intelligence in gastroenterology. Best Pract Res Clin Gastroenterol. 2021;52-53:101732.

Taghiakbari M, Mori Y, von Renteln D. Artificial intelligence-assisted colonoscopy: A review of current state of practice and research. World J Gastroenterol. 2021;27(47):8103-22.

Taheri H, Gonzalez Bocanegra M, Taheri M. Artificial Intelligence, Machine Learning and Smart Technologies for Nondestructive Evaluation. Sensors (Basel). 2022;22(11).

Takkavatakarn K, Hofer IS. Artificial Intelligence and Machine Learning in Perioperative Acute Kidney Injury. Adv Kidney Dis Health. 2023;30(1):53-60.

Tan TF, Thirunavukarasu AJ, Jin L, Lim J, Poh S, Teo ZL, et al. Artificial intelligence and digital health in global eye health: opportunities and challenges. Lancet Glob Health. 2023;11(9):e1432-e43.

Toffaha KM, Simsekler MCE, Omar MA. Leveraging artificial intelligence and decision support systems in hospital-acquired pressure injuries prediction: A comprehensive review. Artif Intell Med. 2023;141:102560.

Toro-Tobon D, Loor-Torres R, Duran M, Fan JW, Singh Ospina N, Wu Y, et al. Artificial Intelligence in Thyroidology: A Narrative Review of the Current Applications, Associated Challenges, and Future Directions. Thyroid. 2023;33(8):903-17.

Uddin M, Wang Y, Woodbury-Smith M. Artificial intelligence for precision medicine in neurodevelopmental disorders. NPJ Digit Med. 2019;2:112.

Umapathy VR, Rajinikanth BS, Samuel Raj RD, Yadav S, Munavarah SA, Anandapandian PA, et al. Perspective of Artificial Intelligence in Disease Diagnosis: A Review of Current and Future Endeavours in the Medical Field. Cureus. 2023;15(9):e45684.

Vaishya R, Javaid M, Khan IH, Haleem A. Artificial Intelligence (AI) applications for COVID-19 pandemic. Diabetes Metab Syndr. 2020;14(4):337-9.

van de Sande D, Van Genderen ME, Smit JM, Huiskens J, Visser JJ, Veen RER, et al. Developing, implementing and governing artificial intelligence in medicine: a step-by-step approach to prevent an artificial intelligence winter. BMJ Health Care Inform. 2022;29(1).

van der Ven WH, Veelo DP, Wijnberge M, van der Ster BJP, Vlaar APJ, Geerts BF. One of the first validations of an artificial intelligence algorithm for clinical use: The impact on intraoperative hypotension prediction and clinical decision-making. Surgery. 2021;169(6):1300-3.

Vandevenne MM, Favuzza E, Veta M, Lucenteforte E, Berendschot TT, Mencucci R, et al. Artificial intelligence for detecting keratoconus. Cochrane Database Syst Rev. 2023;11(11):Cd014911.

Vilne B, Ķibilds J, Siksna I, Lazda I, Valciņa O, Krūmiņa A. Could Artificial Intelligence/Machine Learning and Inclusion of Diet-Gut Microbiome Interactions Improve Disease Risk Prediction? Case Study: Coronary Artery Disease. Front Microbiol. 2022;13:627892.

Viscaino M, Torres Bustos J, Muñoz P, Auat Cheein C, Cheein FA. Artificial intelligence for the early detection of colorectal cancer: A comprehensive review of its advantages and misconceptions. World J Gastroenterol. 2021;27(38):6399-414.

Vishwanathaiah S, Fageeh HN, Khanagar SB, Maganur PC. Artificial Intelligence Its Uses and Application in Pediatric Dentistry: A Review. Biomedicines. 2023;11(3).

Wang KW, Dong M. Potential applications of artificial intelligence in colorectal polyps and cancer: Recent advances and prospects. World J Gastroenterol. 2020;26(34):5090-100.

Wang T, Chen Z, Shang Q, Ma C, Chen X, Xiao E. A Promising and Challenging Approach: Radiologists' Perspective on Deep Learning and Artificial Intelligence for Fighting COVID-19. Diagnostics (Basel). 2021;11(10).

Wani SUD, Khan NA, Thakur G, Gautam SP, Ali M, Alam P, et al. Utilization of Artificial Intelligence in Disease Prevention: Diagnosis, Treatment, and Implications for the Healthcare Workforce. Healthcare (Basel). 2022;10(4).

Weidlich V, Weidlich GA. Artificial Intelligence in Medicine and Radiation Oncology. Cureus. 2018;10(4):e2475.

Wirries A, Geiger F, Oberkircher L, Jabari S. An Evolution Gaining Momentum-The Growing Role of Artificial Intelligence in the Diagnosis and Treatment of Spinal Diseases. Diagnostics (Basel). 2022;12(4).

Wong F, de la Fuente-Nunez C, Collins JJ. Leveraging artificial intelligence in the fight against infectious diseases. Science. 2023;381(6654):164-70.

Wu P, Cao B, Liang Z, Wu M. The advantages of artificial intelligence-based gait assessment in detecting, predicting, and managing Parkinson's disease. Front Aging Neurosci. 2023;15:1191378.

Wu X, Li W, Tu H. Big data and artificial intelligence in cancer research. Trends Cancer. 2023.

Xiang Y, Du J, Fujimoto K, Li F, Schneider J, Tao C. Application of artificial intelligence and machine learning for HIV prevention interventions. Lancet HIV. 2022;9(1):e54-e62.

Xu Z, Su C, Xiao Y, Wang F. Artificial intelligence for COVID-19: battling the pandemic with computational intelligence. Intell Med. 2022;2(1):13-29.

Yadav AK, Verma D, Kumar A, Kumar P, Solanki PR. The perspectives of biomarker-based electrochemical immunosensors, artificial intelligence and the Internet of Medical Things toward COVID-19 diagnosis and management. Mater Today Chem. 2021;20:100443.

Yadav D, Garg RK, Chhabra D, Yadav R, Kumar A, Shukla P. Smart diagnostics devices through artificial intelligence and mechanobiological approaches. 3 Biotech. 2020;10(8):351.

Yang B, Veneziano D, Somani BK. Artificial intelligence in the diagnosis, treatment and prevention of urinary stones. Curr Opin Urol. 2020;30(6):782-7.

Yang X, Mu D, Peng H, Li H, Wang Y, Wang P, et al. Research and Application of Artificial Intelligence Based on Electronic Health Records of Patients With Cancer: Systematic Review. JMIR Med Inform. 2022;10(4):e33799.

Yang Z, Francisco J, Reese AS, Spriggs DR, Im H, Castro CM. Addressing cervical cancer screening disparities through advances in artificial intelligence and nanotechnologies for cellular profiling. Biophys Rev (Melville). 2021;2(1):011303.

Yasmin F, Shah SMI, Naeem A, Shujauddin SM, Jabeen A, Kazmi S, et al. Artificial intelligence in the diagnosis and detection of heart failure: the past, present, and future. Rev Cardiovasc Med. 2021;22(4):1095-113.

Yeng PK, Nweke LO, Yang B, Ali Fauzi M, Snekkenes EA. Artificial Intelligence-Based Framework for Analyzing Health Care Staff Security Practice: Mapping Review and Simulation Study. JMIR Med Inform. 2021;9(12):e19250.

Young E, Edwards L, Singh R. The Role of Artificial Intelligence in Colorectal Cancer Screening: Lesion Detection and Lesion Characterization. Cancers (Basel). 2023;15(21).

Yu Y, Heit JJ, Zaharchuk G. Improving Ischemic Stroke Care With MRI and Deep Learning Artificial Intelligence. Top Magn Reson Imaging. 2021;30(4):187-95.

Zhao Z, Ma Y, Mushtaq A, Rajper AMA, Shehab M, Heybourne A, et al. Applications of Robotics, Artificial Intelligence, and Digital Technologies During COVID-19: A Review. Disaster Med Public Health Prep. 2022;16(4):1634-44.

Zhong NN, Wang HQ, Huang XY, Li ZZ, Cao LM, Huo FY, et al. Enhancing head and neck tumor management with artificial intelligence: Integration and perspectives. Semin Cancer Biol. 2023;95:52-74.

Zhou J, Zeng ZY, Li L. Progress of Artificial Intelligence in Gynecological Malignant Tumors. Cancer Manag Res. 2020;12:12823-40.

Farrokhi M, Rigi A, Mangouri A, Fadaei M, Shabani E, Mashouf P et al. Role of Antioxidants in Autoimmune Diseases. Kindle. 2021;1(1):1-107.

Farrokhi M, Shabani S, Rigi A, Seighalani HH, Pazhooha M, Bagheri S et al. Academic Textbook: Anatomy, Pathophysiology, and Treatment of Pain. Kindle. 2023;3(1):1-123.

Farrokhi M, Vafaei S, Bidares M, Siami H, Rigi A, Hannaniyan M et al. Diagnosis and Treatment of Manifestations of COVID-19. Kindle. 2021;1(1):1-170.

Yarmohammadi B, Rigi A, Sahebkar F, Ahadiat S-A, Gharei F, Heydarian P et al. Guidelines for Providing Services in Medical Departments During the COVID-19 Pandemic. Kindle. 2022;2(1):1-193.

Ahadiat S-A, Shirazinia M, Shirazinia S, Garousi S, Mottahedi M, Jalali AB et al. Role of Telemedicine in Management of Patients During the COVID-19 Pandemic. Kindle. 2022;2(1):1-191.

Abadi SAH, Atbaei R, Forouhi M, Falaverjani HG, Moazamiyanfar R, Rezaei M et al. Preventive and Therapeutic Approaches in Medical Departments During the COVID-19 Pandemic. Kindle. 2022;2(1):1-216.

Ahadiat S-A, Ghazalgoo A, Abadi SAH, Falaverjani HG, Bagherianlemraski M, Namazifar F et al. Role of Vitamin D in Pathogenesis, Diagnosis, and Treatment of Inflammatory Diseases. Kindle. 2022;2(1):1-119.

Ahadiat S-A, Atighi J, Forouhi M, Mashatan N, Ghahremaniyeh Z, Radmanesh M et al. Diagnosis and Management of Complications of COVID-19. Kindle. 2022;2(1):1-113.

Tabatabaei SOH, Moazamiyanfar R, Fard AM, Salemi MH, Masjedi MNK, Yazdani Y et al. Academic Textbook: The Role of Melatonin in Pathogenesis and Treatment of Autoimmune Diseases. Kindle. 2023;3(1):1-126.

Ahadiat S-A, Falaverjani HG, Shabani M, Abadi SAH, Moazamiyanfar R, Rajabi SK et al. The Role of Stem Cells in Treatment of Autoimmune Diseases. Kindle. 2022;2(1):1-136.

Fard AM, Nikbakht T, Babaei N, Pouyamanesh M, Afzalian A, Kharazmkia A et al. Role of Medicinal Plants in Treatment of Inflammatory Diseases. Kindle. 2022;2(1):1-139.

Ahadiat S-A, Barati R, Moghadam NS, Samami E, Ghiabi S, Alyari M et al. Role of Oxidative Stress and Antioxidants in Malignancies. Kindle. 2022;2(1):1-122.

Ahadiat S-A, Kamrani K, Fard AM, Bagherianlemraski M, Rahimpour E, Jamali M et al. Role of Blood Groups in Risk, Severity, Prognosis, and Response to Treatment of the Diseases. Kindle. 2022;2(1):1-130.

Ghalamkarpour N, Fard AM, Babazadeh A, Nikseresht H, Feyzmanesh A, Soltani R et al. Role of Biomarkers in Risk, Diagnosis, Response to Treatment, and Prognosis of the Autoimmune Diseases. Kindle. 2022;2(1):1-124.

Talaie R, Fard SS, Forouhi M, Fard AM, Fard TM, Dadashzadehasl N et al. Applications, Limitations, and Guidelines for the Use of Telemedicine in Medical Departments. Kindle. 2022;2(1):1-118.

Rahmani E, Fard AM, Baghsheikhi H, Hosseini Z, Mashaollahi A, Atighi J et al. Role of Selenium in Pathogenesis and Treatment of the Autoimmune Diseases. Kindle. 2022;2(1):1-131.

Poudineh S, Poudineh M, Roohinezhad R, Khorram R, Fard AM, Barzegar F et al. Role of Vitamins in Pathogenesis and Treatment of Cancers. Kindle. 2023;3(1):1-110.

Poudineh M, Poudineh S, Hosseini Z, Pouramini S, Fard SS, Fadavian H et al. Risk Factors for the Development of Cancers. Kindle. 2023;3(1):1-118.

Amini N, Azimzadeh M, Dosar MD, Fard AM, Habibzadeh N, Yahyazadehjasour S et al. Role of Microbiome, Infection, and Inflammation in Autoimmune Diseases. Kindle. 2023;3(1):1-102.

Taheri F, Farrokhi M, Fard AM, Rahmani E, Soltani R, Shamsedanesh S et al. Role of Micronutrients and Nutrition in Prevention and Treatment of Cancers. Kindle. 2023;3(1):1-102.

Taheri F, Rahmani E, Fard SS, Rezaei M, Ayati A, Farhoudian A et al. Aging Process and Related Diseases. Kindle. 2023;3(1):1-117.

Rahmani E, Rezaei M, Tavakoli R, Ghadirzadeh E, Sarnaghy FJ, Khorram R et al. Role of Regenerative Medicine in the Treatment of Diseases. Kindle. 2023;3(1):1-184.

Rezaei M, Rahmani E, Khouzani SJ, Rahmannia M, Ghadirzadeh E, Bashghareh P et al. Role of Artificial Intelligence in the Diagnosis and Treatment of Diseases. Kindle. 2023;3(1):1-160.

Farrokhi M, Taheri F, Khouzani PJ, Rahmani E, Tavakoli R, Fard AM et al. Role of Precision Medicine and Personalized Medicine in the Treatment of Diseases. Kindle. 2023;3(1):1-164.

Farrokhi M, Taheri F, Karami E, Khorram R, Sarnaghy FJ, Mirbolook A et al. Effects of Environmental Factors and Epigenetic on Health and the Development of Diseases. Kindle. 2023;3(1):1-186.

Farrokhi M, Taheri F, Moeini A, Farrokhi M, Rabiei S, Farahmandsadr M et al. Sex and Gender Differences in the Pathogenesis and Treatment of Diseases. Kindle. 2023;3(1):1-168.

Rezaei T, Khouzani PJ, Khouzani SJ, Fard AM, Rashidi S, Ghazalgoo A et al. Integrating Artificial Intelligence into Telemedicine: Revolutionizing Healthcare Delivery. Kindle. 2023;3(1):1-161.

Farrokhi M, Moeini A, Taheri F, Farrokhi M, Mostafavi M, Ardakan AK et al. Artificial Intelligence in Cancer Care: From Diagnosis to Prevention and Beyond. Kindle. 2023;3(1):1-149.

Rezaei M, Saei S, Khouzani SJ, Rostami ME, Rahmannia M, Manzelat AMR, et al. Emerging Technologies in Medicine: Artificial Intelligence, Robotics, and Medical Automation. Kindle. 2023;3(1):1-184.

AI-assisted Screening and Prevention Programs for Diseases




How to Cite

Farrokhi, M., Moeini, A., Taheri , F., Farrokhi, M., Khodashenas, M., Babaei, M., Jafari Khouzani, P., Nikseresht, H., Shafiei, D., Shayankia, G., Shayankia, A., Ghadirzadeh, E., Hosseini, Z., Sadeghi, E., Arjmand, S. A., Ghaderpanah, R., Mohammadpour, M., Sheikhzadeh , R., Tolouei, M., Sadeghniiat-Haghighi, A., Mahsa , M., Jalayer Sarnaghy, F., Mirbolook, A., Pourhamdi, S., Naderi, D., Soleimani, B., Mehrtabar, E., Shahraki, K., Bayanati, M., Rezaeirad, A., Azizi, A., Argani, P., Ghorbani, H., Afshar Delkhah, F., Azimian Zavareh, S., Pirouzan, M., Shahriari, S., Sarhadi, S., Khalafi, M. A., Azimi, H., Roohinezhad, R., Setareh , H. E., Mohammadian, M., Hassanzadeh, H., Sabaghi, B., Mohammadi, B., Saqagandomabadi, V., Moezzi, A., Moezzi, F., Yahyazadeh Andevari, M., Faghihkhorasani, A., Hajializade, M., Pirani, A., Khorram, R., Khakpournia, N., Ranjbaran Ghaleh, M., Salehi, S., Alinejad, M., Maleki, H., Pourrahimi, M., Foroughi Nematollahi, S., Azarkish, F., & Hosseinnia, M. (2023). AI-assisted Screening and Prevention Programs for Diseases. Kindle, 3(1), 1–209. Retrieved from



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