AI Chatbots and Telemedicine in Cancer Care: Supporting Patients and Enhancing Communications
Keywords:
AI Chatbots , Telemedicine , Cancer , CommunicationsAbstract
AI chatbots and telemedicine are revolutionizing cancer care by providing support to patients and enhancing communication between them and their healthcare providers. AI chatbots use natural language processing (NLP) and machine learning to engage with patients, offering tailored information, emotional support, and assistance in managing treatment plans. For example, they can explain complex medical information, help monitor symptoms, and provide reminders for medication adherence, making patients feel more informed and involved in their care. Telemedicine complements AI chatbots by allowing patients to connect with their healthcare providers remotely, eliminating geographical barriers and reducing the need for frequent hospital visits. This is particularly beneficial for cancer patients who require ongoing monitoring and follow-up care. Through virtual consultations, patients can discuss treatment progress, report side effects, and adjust care plans as needed, fostering a collaborative approach to care. The integration of AI chatbots and telemedicine enhances communication by facilitating a continuous and accessible support system. Patients can access information and guidance at any time, reducing anxiety and improving their overall experience. Additionally, healthcare providers can use data collected through chatbots and telemedicine platforms to make informed, timely decisions about patient care. Together, AI chatbots and telemedicine offer a more efficient, patient-centered approach to cancer care, ultimately improving outcomes and quality of life.
References
Agrawal S, Vagha S. A Comprehensive Review of Artificial Intelligence in Prostate Cancer Care: State-of-the-Art Diagnostic Tools and Future Outlook. Cureus. 2024;16(8):e66225.
Ahervo H, Korhonen J, Lim Wei Ming S, Guan Yunqing F, Soini M, Lian Pei Ling C, et al. Artificial intelligence-supported applications in head and neck cancer radiotherapy treatment planning and dose optimisation. Radiography (Lond). 2023;29(3):496-502.
Ahn JS, Shin S, Yang SA, Park EK, Kim KH, Cho SI, et al. Artificial Intelligence in Breast Cancer Diagnosis and Personalized Medicine. J Breast Cancer. 2023;26(5):405-35.
Akin O, Lema-Dopico A, Paudyal R, Konar AS, Chenevert TL, Malyarenko D, et al. Multiparametric MRI in Era of Artificial Intelligence for Bladder Cancer Therapies. Cancers (Basel). 2023;15(22).
Al Muhaisen S, Safi O, Ulayan A, Aljawamis S, Fakhoury M, Baydoun H, et al. Artificial Intelligence-Powered Mammography: Navigating the Landscape of Deep Learning for Breast Cancer Detection. Cureus. 2024;16(3):e56945.
Al-Kadi OS, Al-Emaryeen R, Al-Nahhas S, Almallahi I, Braik R, Mahafza W. Empowering brain cancer diagnosis: harnessing artificial intelligence for advanced imaging insights. Rev Neurosci. 2024;35(4):399-419.
Alabi RO, Elmusrati M, Leivo I, Almangush A, Mäkitie AA. Artificial Intelligence-Driven Radiomics in Head and Neck Cancer: Current Status and Future Prospects. Int J Med Inform. 2024;188:105464.
Ali H, Qureshi R, Shah Z. Artificial Intelligence-Based Methods for Integrating Local and Global Features for Brain Cancer Imaging: Scoping Review. JMIR Med Inform. 2023;11:e47445.
Ameen A, Shaikh K, Khan A, Vohra LM. The discerning influence of dynamic contrast-enhanced MRI in anticipating molecular subtypes of breast cancer through the artistry of artificial intelligence - a narrative review. J Pak Med Assoc. 2024;74(4 (Supple-4)):S72-s8.
Aswathy R, Sumathi S. The Evolving Landscape of Cervical Cancer: Breakthroughs in Screening and Therapy Through Integrating Biotechnology and Artificial Intelligence. Mol Biotechnol. 2024.
Avella P, Cappuccio M, Cappuccio T, Rotondo M, Fumarulo D, Guerra G, et al. Artificial Intelligence to Early Predict Liver Metastases in Patients with Colorectal Cancer: Current Status and Future Prospectives. Life (Basel). 2023;13(10).
Azadi Moghadam P, Bashashati A, Goldenberg SL. Artificial Intelligence and Pathomics: Prostate Cancer. Urol Clin North Am. 2024;51(1):15-26.
Bassani S, Lee YK, Campagnari V, Eccher A, Monzani D, Nocini R, et al. From Hype To Reality: A Narrative Review on the Promising Role of Artificial Intelligence in Larynx Cancer Detection and Transoral Microsurgery. Crit Rev Oncog. 2023;28(3):21-4.
Bassi M, Vaz Sousa R, Zacchini B, Centofanti A, Ferrante F, Poggi C, et al. Lung Cancer Surgery in Octogenarians: Implications and Advantages of Artificial Intelligence in the Preoperative Assessment. Healthcare (Basel). 2024;12(7).
Batool Z, Kamal MA, Shen B. Advancements in triple-negative breast cancer sub-typing, diagnosis and treatment with assistance of artificial intelligence : a focused review. J Cancer Res Clin Oncol. 2024;150(8):383.
Baydoun A, Jia AY, Zaorsky NG, Kashani R, Rao S, Shoag JE, et al. Artificial intelligence applications in prostate cancer. Prostate Cancer Prostatic Dis. 2024;27(1):37-45.
Bazarkin A, Morozov A, Androsov A, Fajkovic H, Rivas JG, Singla N, et al. Assessment of Prostate and Bladder Cancer Genomic Biomarkers Using Artificial Intelligence: a Systematic Review. Curr Urol Rep. 2024;25(1):19-35.
Boland PA, Hardy NP, Moynihan A, McEntee PD, Loo C, Fenlon H, et al. Intraoperative near infrared functional imaging of rectal cancer using artificial intelligence methods - now and near future state of the art. Eur J Nucl Med Mol Imaging. 2024;51(10):3135-48.
Brancaccio G, Balato A, Malvehy J, Puig S, Argenziano G, Kittler H. Artificial Intelligence in Skin Cancer Diagnosis: A Reality Check. J Invest Dermatol. 2024;144(3):492-9.
Breen J, Allen K, Zucker K, Adusumilli P, Scarsbrook A, Hall G, et al. Artificial intelligence in ovarian cancer histopathology: a systematic review. NPJ Precis Oncol. 2023;7(1):83.
Bulashevska A, Nacsa Z, Lang F, Braun M, Machyna M, Diken M, et al. Artificial intelligence and neoantigens: paving the path for precision cancer immunotherapy. Front Immunol. 2024;15:1394003.
Butt SR, Soulat A, Lal PM, Fakhor H, Patel SK, Ali MB, et al. Impact of artificial intelligence on the diagnosis, treatment and prognosis of endometrial cancer. Ann Med Surg (Lond). 2024;86(3):1531-9.
Calderaro J, Žigutytė L, Truhn D, Jaffe A, Kather JN. Artificial intelligence in liver cancer - new tools for research and patient management. Nat Rev Gastroenterol Hepatol. 2024;21(8):585-99.
Carter SM, Popic D, Marinovich ML, Carolan L, Houssami N. Women's views on using artificial intelligence in breast cancer screening: A review and qualitative study to guide breast screening services. Breast. 2024;77:103783.
Castellani D, Perpepaj L, Fuligni D, Chiacchio G, Tramanzoli P, Stramucci S, et al. Advancements in artificial intelligence for robotic-assisted radical prostatectomy in men suffering from prostate cancer: results from a scoping review. Chin Clin Oncol. 2024;13(4):54.
Cellina M, Cacioppa LM, Cè M, Chiarpenello V, Costa M, Vincenzo Z, et al. Artificial Intelligence in Lung Cancer Screening: The Future Is Now. Cancers (Basel). 2023;15(17).
Cellina M, De Padova G, Caldarelli N, Libri D, Cè M, Martinenghi C, et al. Artificial Intelligence in Lung Cancer Imaging: From Data to Therapy. Crit Rev Oncog. 2024;29(2):1-13.
Chaddad A, Tan G, Liang X, Hassan L, Rathore S, Desrosiers C, et al. Advancements in MRI-Based Radiomics and Artificial Intelligence for Prostate Cancer: A Comprehensive Review and Future Prospects. Cancers (Basel). 2023;15(15).
Chang CT, Daneshjou R. Disentangling Hype from Reality for Artificial Intelligence-Based Skin Cancer Diagnosis: Comment on a Narrative Review. J Invest Dermatol. 2024;144(3):444-5.
Chapla D, Chorya HP, Ishfaq L, Khan A, Vr S, Garg S. An Artificial Intelligence (AI)-Integrated Approach to Enhance Early Detection and Personalized Treatment Strategies in Lung Cancer Among Smokers: A Literature Review. Cureus. 2024;16(8):e66688.
Chen M, Copley SJ, Viola P, Lu H, Aboagye EO. Radiomics and artificial intelligence for precision medicine in lung cancer treatment. Semin Cancer Biol. 2023;93:97-113.
Cheng H, Xu H, Peng B, Huang X, Hu Y, Zheng C, et al. Illuminating the future of precision cancer surgery with fluorescence imaging and artificial intelligence convergence. NPJ Precis Oncol. 2024;8(1):196.
Choi S, Kim S. Artificial Intelligence in the Pathology of Gastric Cancer. J Gastric Cancer. 2023;23(3):410-27.
Chugh V, Basu A, Kaushik A, Manshu, Bhansali S, Basu AK. Employing nano-enabled artificial intelligence (AI)-based smart technologies for prediction, screening, and detection of cancer. Nanoscale. 2024;16(11):5458-86.
Cobanaj M, Corti C, Dee EC, McCullum L, Boldrini L, Schlam I, et al. Advancing equitable and personalized cancer care: Novel applications and priorities of artificial intelligence for fairness and inclusivity in the patient care workflow. Eur J Cancer. 2024;198:113504.
Dang A, Dang D, Vallish BN. Extent of use of artificial intelligence & machine learning protocols in cancer diagnosis: A scoping review. Indian J Med Res. 2023;157(1):11-22.
Danishuddin, Khan S, Kim JJ. From cancer big data to treatment: Artificial intelligence in cancer research. J Gene Med. 2024;26(1):e3629.
Das K, Paltani M, Tripathi PK, Kumar R, Verma S, Kumar S, et al. Current implications and challenges of artificial intelligence technologies in therapeutic intervention of colorectal cancer. Explor Target Antitumor Ther. 2023;4(6):1286-300.
Derbal Y. Adaptive Cancer Therapy in the Age of Generative Artificial Intelligence. Cancer Control. 2024;31:10732748241264704.
Devault-Tousignant C, Harvie M, Bissada E, Christopoulos A, Tabet P, Guertin L, et al. The use of artificial intelligence in reconstructive surgery for head and neck cancer: a systematic review. Eur Arch Otorhinolaryngol. 2024.
Di Costanzo G, Ascione R, Ponsiglione A, Tucci AG, Dell'Aversana S, Iasiello F, et al. Artificial intelligence and radiomics in magnetic resonance imaging of rectal cancer: a review. Explor Target Antitumor Ther. 2023;4(3):406-21.
Díaz O, Rodríguez-Ruíz A, Sechopoulos I. Artificial Intelligence for breast cancer detection: Technology, challenges, and prospects. Eur J Radiol. 2024;175:111457.
Efstathiou E, Merseburger A, Liew A, Kurtyka K, Panda O, Dalechek D, et al. Perception of cure in prostate cancer: human-led and artificial intelligence-assisted landscape review and linguistic analysis of literature, social media and policy documents. ESMO Open. 2024;9(5):103007.
Elahi R, Nazari M. An updated overview of radiomics-based artificial intelligence (AI) methods in breast cancer screening and diagnosis. Radiol Phys Technol. 2024.
Faa G, Coghe F, Pretta A, Castagnola M, Van Eyken P, Saba L, et al. Artificial Intelligence Models for the Detection of Microsatellite Instability from Whole-Slide Imaging of Colorectal Cancer. Diagnostics (Basel). 2024;14(15).
Faur AC, Lazar DC, Ghenciu LA. Artificial intelligence as a noninvasive tool for pancreatic cancer prediction and diagnosis. World J Gastroenterol. 2023;29(12):1811-23.
Fawaz A, Ferraresi A, Isidoro C. Systems Biology in Cancer Diagnosis Integrating Omics Technologies and Artificial Intelligence to Support Physician Decision Making. J Pers Med. 2023;13(11).
Ferro M, Falagario UG, Barone B, Maggi M, Crocetto F, Busetto GM, et al. Artificial Intelligence in the Advanced Diagnosis of Bladder Cancer-Comprehensive Literature Review and Future Advancement. Diagnostics (Basel). 2023;13(13).
Foltz EA, Witkowski A, Becker AL, Latour E, Lim JY, Hamilton A, et al. Artificial Intelligence Applied to Non-Invasive Imaging Modalities in Identification of Nonmelanoma Skin Cancer: A Systematic Review. Cancers (Basel). 2024;16(3).
Franzese C, Dei D, Lambri N, Teriaca MA, Badalamenti M, Crespi L, et al. Enhancing Radiotherapy Workflow for Head and Neck Cancer with Artificial Intelligence: A Systematic Review. J Pers Med. 2023;13(6).
Frascarelli C, Bonizzi G, Musico CR, Mane E, Cassi C, Guerini Rocco E, et al. Revolutionizing Cancer Research: The Impact of Artificial Intelligence in Digital Biobanking. J Pers Med. 2023;13(9).
Gandhi H, Kumar K. Artificial Intelligence for the Management of Breast Cancer: An Overview. Curr Drug Discov Technol. 2024;21(4):e031123223115.
Gandhi Z, Gurram P, Amgai B, Lekkala SP, Lokhandwala A, Manne S, et al. Artificial Intelligence and Lung Cancer: Impact on Improving Patient Outcomes. Cancers (Basel). 2023;15(21).
Gao Q, Yang L, Lu M, Jin R, Ye H, Ma T. The artificial intelligence and machine learning in lung cancer immunotherapy. J Hematol Oncol. 2023;16(1):55.
Govindan B, Sabri MA, Hai A, Banat F, Haija MA. A Review of Advanced Multifunctional Magnetic Nanostructures for Cancer Diagnosis and Therapy Integrated into an Artificial Intelligence Approach. Pharmaceutics. 2023;15(3).
Guitton T, Allaume P, Rabilloud N, Rioux-Leclercq N, Henno S, Turlin B, et al. Artificial Intelligence in Predicting Microsatellite Instability and KRAS, BRAF Mutations from Whole-Slide Images in Colorectal Cancer: A Systematic Review. Diagnostics (Basel). 2023;14(1).
Guo J, Hu J, Zheng Y, Zhao S, Ma J. Artificial intelligence: opportunities and challenges in the clinical applications of triple-negative breast cancer. Br J Cancer. 2023;128(12):2141-9.
Gupta R, Kumar N, Bansal S, Singh S, Sood N, Gupta S. Artificial Intelligence-driven Digital Cytology-based Cervical Cancer Screening: Is the Time Ripe to Adopt This Disruptive Technology in Resource-constrained Settings? A Literature Review. J Digit Imaging. 2023;36(4):1643-52.
He C, Xu H, Yuan E, Ye L, Chen Y, Yao J, et al. The accuracy and quality of image-based artificial intelligence for muscle-invasive bladder cancer prediction. Insights Imaging. 2024;15(1):185.
Hong S, Zhang H. [Research Progress of Artificial Intelligence in Prostate Cancer Diagnosis Application]. Zhongguo Yi Liao Qi Xie Za Zhi. 2024;48(4):367-72.
Horiuchi Y, Hirasawa T, Fujisaki J. Application of artificial intelligence for diagnosis of early gastric cancer based on magnifying endoscopy with narrow-band imaging. Clin Endosc. 2024;57(1):11-7.
Ichimasa K, Kudo SE, Misawa M, Takashina Y, Yeoh KG, Miyachi H. Role of the artificial intelligence in the management of T1 colorectal cancer. Dig Liver Dis. 2024;56(7):1144-7.
Ivanova M, Pescia C, Trapani D, Venetis K, Frascarelli C, Mane E, et al. Early Breast Cancer Risk Assessment: Integrating Histopathology with Artificial Intelligence. Cancers (Basel). 2024;16(11).
Jafrasteh F, Farmani A, Mohamadi J. Meticulous research for design of plasmonics sensors for cancer detection and food contaminants analysis via machine learning and artificial intelligence. Sci Rep. 2023;13(1):15349.
Jan Z, El Assadi F, Abd-Alrazaq A, Jithesh PV. Artificial Intelligence for the Prediction and Early Diagnosis of Pancreatic Cancer: Scoping Review. J Med Internet Res. 2023;25:e44248.
Kaneko M, Magoulianitis V, Ramacciotti LS, Raman A, Paralkar D, Chen A, et al. The Novel Green Learning Artificial Intelligence for Prostate Cancer Imaging: A Balanced Alternative to Deep Learning and Radiomics. Urol Clin North Am. 2024;51(1):1-13.
Kang J, Chowdhry AK, Pugh SL, Park JH. Integrating Artificial Intelligence and Machine Learning Into Cancer Clinical Trials. Semin Radiat Oncol. 2023;33(4):386-94.
Katayama A, Aoki Y, Watanabe Y, Horiguchi J, Rakha EA, Oyama T. Current status and prospects of artificial intelligence in breast cancer pathology: convolutional neural networks to prospective Vision Transformers. Int J Clin Oncol. 2024.
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).
Khoraminia F, Fuster S, Kanwal N, Olislagers M, Engan K, van Leenders G, et al. Artificial Intelligence in Digital Pathology for Bladder Cancer: Hype or Hope? A Systematic Review. Cancers (Basel). 2023;15(18).
Khozin S. From organs to algorithms: Redefining cancer classification in the age of artificial intelligence. Clin Transl Sci. 2024;17(9):e70001.
Kim KW, Huh J, Urooj B, Lee J, Lee J, Lee IS, et al. Artificial Intelligence in Gastric Cancer Imaging With Emphasis on Diagnostic Imaging and Body Morphometry. J Gastric Cancer. 2023;23(3):388-99.
Kim M, Park T, Oh BY, Kim MJ, Cho BJ, Son IT. Performance reporting design in artificial intelligence studies using image-based TNM staging and prognostic parameters in rectal cancer: a systematic review. Ann Coloproctol. 2024;40(1):13-26.
Kinkar KK, Fields BKK, Yamashita MW, Varghese BA. Empowering breast cancer diagnosis and radiology practice: advances in artificial intelligence for contrast-enhanced mammography. Front Radiol. 2023;3:1326831.
Kinoshita T, Komatsu M. Artificial Intelligence in Surgery and Its Potential for Gastric Cancer. J Gastric Cancer. 2023;23(3):400-9.
Kumar V, Gaddam M, Moustafa A, Iqbal R, Gala D, Shah M, et al. The Utility of Artificial Intelligence in the Diagnosis and Management of Pancreatic Cancer. Cureus. 2023;15(11):e49560.
Kurozumi S, Ball GR. Research on biomarkers using innovative artificial intelligence systems in breast cancer. Int J Clin Oncol. 2024.
Kwong JCC, Wu J, Malik S, Khondker A, Gupta N, Bodnariuc N, et al. Predicting non-muscle invasive bladder cancer outcomes using artificial intelligence: a systematic review using APPRAISE-AI. NPJ Digit Med. 2024;7(1):98.
Ladbury C, Eustace N, Kassardjian A, Amini A, Chen YJ, Wang E, et al. Explainable artificial intelligence analysis of brachytherapy boost receipt in cervical cancer during the COVID-19 era. Brachytherapy. 2024;23(3):237-47.
Lai B, Fu J, Zhang Q, Deng N, Jiang Q, Peng J. Artificial intelligence in cancer pathology: Challenge to meet increasing demands of precision medicine. Int J Oncol. 2023;63(3).
Laurie MA, Zhou SR, Islam MT, Shkolyar E, Xing L, Liao JC. Bladder Cancer and Artificial Intelligence: Emerging Applications. Urol Clin North Am. 2024;51(1):63-75.
Lee J, Lee H, Chung JW. The Role of Artificial Intelligence in Gastric Cancer: Surgical and Therapeutic Perspectives: A Comprehensive Review. J Gastric Cancer. 2023;23(3):375-87.
Leo E, Stanzione A, Miele M, Cuocolo R, Sica G, Scaglione M, et al. Artificial Intelligence and Radiomics for Endometrial Cancer MRI: Exploring the Whats, Whys and Hows. J Clin Med. 2023;13(1).
Li JW, Wang LM, Ichimasa K, Lin KW, Ngu JC, Ang TL. Use of artificial intelligence in the management of T1 colorectal cancer: a new tool in the arsenal or is deep learning out of its depth? Clin Endosc. 2024;57(1):24-35.
Li L, Sun M, Wang J, Wan S. Multi-omics based artificial intelligence for cancer research. Adv Cancer Res. 2024;163:303-56.
Liang ZC, Sun C, Chen M. [Advances in artificial intelligence-assisted MRI radiomics in the diagnosis and treatment of prostate cancer]. Zhonghua Nan Ke Xue. 2024;30(1):60-5.
Lin G, Wang X, Ye H, Cao W. Radiomic Models Predict Tumor Microenvironment Using Artificial Intelligence-the Novel Biomarkers in Breast Cancer Immune Microenvironment. Technol Cancer Res Treat. 2023;22:15330338231218227.
Lindgren Belal S, Frantz S, Minarik D, Enqvist O, Wikström E, Edenbrandt L, et al. Applications of Artificial Intelligence in PSMA PET/CT for Prostate Cancer Imaging. Semin Nucl Med. 2024;54(1):141-9.
Liu J, Cundy TP, Woon DTS, Desai N, Palaniswami M, Lawrentschuk N. A systematic review on artificial intelligence evaluating PSMA PET scan for intraprostatic cancer. BJU Int. 2024.
Liu J, Cundy TP, Woon DTS, Lawrentschuk N. A Systematic Review on Artificial Intelligence Evaluating Metastatic Prostatic Cancer and Lymph Nodes on PSMA PET Scans. Cancers (Basel). 2024;16(3).
Liu W, Shen N, Zhang L, Wang X, Chen B, Liu Z, et al. Research in the application of artificial intelligence to lung cancer diagnosis. Front Med (Lausanne). 2024;11:1343485.
Liu X, Shi J, Li Z, Huang Y, Zhang Z, Zhang C. The Present and Future of Artificial Intelligence in Urological Cancer. J Clin Med. 2023;12(15).
Lo Gullo R, Marcus E, Huayanay J, Eskreis-Winkler S, Thakur S, Teuwen J, et al. Artificial Intelligence-Enhanced Breast MRI: Applications in Breast Cancer Primary Treatment Response Assessment and Prediction. Invest Radiol. 2024;59(3):230-42.
Lococo F, Ghaly G, Chiappetta M, Flamini S, Evangelista J, Bria E, et al. Implementation of Artificial Intelligence in Personalized Prognostic Assessment of Lung Cancer: A Narrative Review. Cancers (Basel). 2024;16(10).
Logullo P, MacCarthy A, Dhiman P, Kirtley S, Ma J, Bullock G, et al. Artificial intelligence in lung cancer diagnostic imaging: a review of the reporting and conduct of research published 2018-2019. BJR Open. 2023;5(1):20220033.
Lowry KP, Zuiderveld CC. Artificial Intelligence for Breast Cancer Risk Assessment. Radiol Clin North Am. 2024;62(4):619-25.
Lu H, Zhang J, Cao Y, Wu S, Wei Y, Yin R. Advances in applications of artificial intelligence algorithms for cancer-related miRNA research. Zhejiang Da Xue Xue Bao Yi Xue Ban. 2024;53(2):231-43.
Lyakhova UA, Lyakhov PA. Systematic review of approaches to detection and classification of skin cancer using artificial intelligence: Development and prospects. Comput Biol Med. 2024;178:108742.
M SA, Al-Musawi SG, Al-Alwany AA, Uinarni H, Rasulova I, Rodrigues P, et al. Artificial intelligence in cancer diagnosis: Opportunities and challenges. Pathol Res Pract. 2024;253:154996.
Ma T, Wang H, Ye Z. Artificial intelligence applications in computed tomography in gastric cancer: a narrative review. Transl Cancer Res. 2023;12(9):2379-92.
Maida M, Marasco G, Facciorusso A, Shahini E, Sinagra E, Pallio S, et al. Effectiveness and application of artificial intelligence for endoscopic screening of colorectal cancer: the future is now. Expert Rev Anticancer Ther. 2023;23(7):719-29.
Maki JH, Patel NU, Ulrich EJ, Dhaouadi J, Jones RW. Part I: prostate cancer detection, artificial intelligence for prostate cancer and how we measure diagnostic performance: a comprehensive review. Curr Probl Diagn Radiol. 2024;53(5):606-13.
Malik S, Wu J, Bodnariuc N, Narayana K, Gupta N, Malik M, et al. Existing trends and applications of artificial intelligence in urothelial cancer A scoping review. Can Urol Assoc J. 2023;17(11):E395-e401.
Matsubayashi CO, Cheng S, Hulchafo I, Zhang Y, Tada T, Buxbaum JL, et al. Artificial intelligence for gastric cancer in endoscopy: From diagnostic reasoning to market. Dig Liver Dis. 2024;56(7):1156-63.
Maurya R, Chug I, Vudatha V, Palma AM. Applications of spatial transcriptomics and artificial intelligence to develop integrated management of pancreatic cancer. Adv Cancer Res. 2024;163:107-36.
McCaffrey C, Jahangir C, Murphy C, Burke C, Gallagher WM, Rahman A. Artificial intelligence in digital histopathology for predicting patient prognosis and treatment efficacy in breast cancer. Expert Rev Mol Diagn. 2024;24(5):363-77.
Mei T, Wang T, Zhou Q. Multi-omics and artificial intelligence predict clinical outcomes of immunotherapy in non-small cell lung cancer patients. Clin Exp Med. 2024;24(1):60.
Merchán Gómez B, Milla Collado L, Rodríguez M. Artificial intelligence in esophageal cancer diagnosis and treatment: where are we now?-a narrative review. Ann Transl Med. 2023;11(10):353.
Michelutti L, Tel A, Zeppieri M, Ius T, Sembronio S, Robiony M. The Use of Artificial Intelligence Algorithms in the Prognosis and Detection of Lymph Node Involvement in Head and Neck Cancer and Possible Impact in the Development of Personalized Therapeutic Strategy: A Systematic Review. J Pers Med. 2023;13(12).
Mitchell S, Nikolopoulos M, El-Zarka A, Al-Karawi D, Al-Zaidi S, Ghai A, et al. Artificial Intelligence in Ultrasound Diagnoses of Ovarian Cancer: A Systematic Review and Meta-Analysis. Cancers (Basel). 2024;16(2).
Mooghal M, Ali MM, Khan W, Ahmer A, Akbar MG, Vohra LM. Advancements in oligometastatic breast cancer: a comprehensive review of current strategies and the role of artificial intelligence. J Pak Med Assoc. 2024;74(4 (Supple-4)):S117-s25.
Mooghal M, Anjum S, Khan W, Tariq H, Babar A, Vohra LM. Artificial intelligence-powered optimization of KI-67 assessment in breast cancer: enhancing precision and workflow efficiency. a literature review. J Pak Med Assoc. 2024;74(4 (Supple-4)):S109-s16.
Moroney J, Trivella J, George B, White SB. A Paradigm Shift in Primary Liver Cancer Therapy Utilizing Genomics, Molecular Biomarkers, and Artificial Intelligence. Cancers (Basel). 2023;15(10).
Morozov A, Taratkin M, Bazarkin A, Rivas JG, Puliatti S, Checcucci E, et al. A systematic review and meta-analysis of artificial intelligence diagnostic accuracy in prostate cancer histology identification and grading. Prostate Cancer Prostatic Dis. 2023;26(4):681-92.
Mukherjee S, Vagha S, Gadkari P. Navigating the Future: A Comprehensive Review of Artificial Intelligence Applications in Gastrointestinal Cancer. Cureus. 2024;16(2):e54467.
Murmu A, Győrffy B. Artificial intelligence methods available for cancer research. Front Med. 2024.
Nagi R, Bibra A, Rakesh N, Patil DJ, Vyas T. Artificial intelligence-integrated optical coherence tomography for screening and early detection of oral cancer. Gen Dent. 2024;72(1):46-52.
Nduma BN, Nkeonye S, Uwawah TD, Kaur D, Ekhator C, Ambe S. Use of Artificial Intelligence in the Diagnosis of Colorectal Cancer. Cureus. 2024;16(1):e53024.
Nicolis O, De Los Angeles D, Taramasco C. A contemporary review of breast cancer risk factors and the role of artificial intelligence. Front Oncol. 2024;14:1356014.
Noor J, Chaudhry A, Batool S. Microfluidic Technology, Artificial Intelligence, and Biosensors As Advanced Technologies in Cancer Screening: A Review Article. Cureus. 2023;15(5):e39634.
O'Connor S, Vercell A, Wong D, Yorke J, Fallatah FA, Cave L, et al. The application and use of artificial intelligence in cancer nursing: A systematic review. Eur J Oncol Nurs. 2024;68:102510.
Obimba DC, Esteva C, Nzouatcham Tsicheu EN, Wong R. Effectiveness of Artificial Intelligence Technologies in Cancer Treatment for Older Adults: A Systematic Review. J Clin Med. 2024;13(17).
Patel K, Huang S, Rashid A, Varghese B, Gholamrezanezhad A. A Narrative Review of the Use of Artificial Intelligence in Breast, Lung, and Prostate Cancer. Life (Basel). 2023;13(10).
Perez-Lopez R, Ghaffari Laleh N, Mahmood F, Kather JN. A guide to artificial intelligence for cancer researchers. Nat Rev Cancer. 2024;24(6):427-41.
Pesapane F, Battaglia O, Pellegrino G, Mangione E, Petitto S, Fiol Manna ED, et al. Advances in breast cancer risk modeling: integrating clinics, imaging, pathology and artificial intelligence for personalized risk assessment. Future Oncol. 2023;19(38):2547-64.
Pesapane F, Giambersio E, Capetti B, Monzani D, Grasso R, Nicosia L, et al. Patients' Perceptions and Attitudes to the Use of Artificial Intelligence in Breast Cancer Diagnosis: A Narrative Review. Life (Basel). 2024;14(4).
Pierre K, Gupta M, Raviprasad A, Sadat Razavi SM, Patel A, Peters K, et al. Medical imaging and multimodal artificial intelligence models for streamlining and enhancing cancer care: opportunities and challenges. Expert Rev Anticancer Ther. 2023;23(12):1265-79.
Pokhriyal SC, Shukla A, Gupta U, Al-Ghuraibawi MMH, Yadav R, Panigrahi K. Application of Artificial Intelligence in Neuroendocrine Lung Cancer Diagnosis and Treatment: A Systematic Review. Cureus. 2024;16(5):e61012.
Quanyang W, Yao H, Sicong W, Linlin Q, Zewei Z, Donghui H, et al. Artificial intelligence in lung cancer screening: Detection, classification, prediction, and prognosis. Cancer Med. 2024;13(7):e7140.
Rai HM, Yoo J, Razaque A. A depth analysis of recent innovations in non-invasive techniques using artificial intelligence approach for cancer prediction. Med Biol Eng Comput. 2024.
Ramalakshmi K, Srinivasa Raghavan V, Rajagopal S, Krishna Kumari L, Theivanathan G, Kulkarni MB, et al. An extensive analysis of artificial intelligence and segmentation methods transforming cancer recognition in medical imaging. Biomed Phys Eng Express. 2024;10(4).
Raza Z, Saqib SU, Bajwa AA. Integrating artificial intelligence techniques for advancements in colorectal cancer management: navigating past and predicting future direction. J Pak Med Assoc. 2024;74(4 (Supple-4)):S165-s70.
Reddy V, Nafees A, Raman S. Recent advances in artificial intelligence applications for supportive and palliative care in cancer patients. Curr Opin Support Palliat Care. 2023;17(2):125-34.
Reitsam NG, Enke JS, Vu Trung K, Märkl B, Kather JN. Artificial Intelligence in Colorectal Cancer: From Patient Screening over Tailoring Treatment Decisions to Identification of Novel Biomarkers. Digestion. 2024:1-14.
Rentiya ZS, Mandal S, Inban P, Vempalli H, Dabbara R, Ali S, et al. Revolutionizing Breast Cancer Detection With Artificial Intelligence (AI) in Radiology and Radiation Oncology: A Systematic Review. Cureus. 2024;16(4):e57619.
Riaz IB, Harmon S, Chen Z, Naqvi SAA, Cheng L. Applications of Artificial Intelligence in Prostate Cancer Care: A Path to Enhanced Efficiency and Outcomes. Am Soc Clin Oncol Educ Book. 2024;44(3):e438516.
Riaz IB, Khan MA, Haddad TC. Potential application of artificial intelligence in cancer therapy. Curr Opin Oncol. 2024;36(5):437-48.
Rodriguez Peñaranda N, Eissa A, Ferretti S, Bianchi G, Di Bari S, Farinha R, et al. Artificial Intelligence in Surgical Training for Kidney Cancer: A Systematic Review of the Literature. Diagnostics (Basel). 2023;13(19).
Roisman LC, Kian W, Anoze A, Fuchs V, Spector M, Steiner R, et al. Radiological artificial intelligence - predicting personalized immunotherapy outcomes in lung cancer. NPJ Precis Oncol. 2023;7(1):125.
Sacca L, Lobaina D, Burgoa S, Lotharius K, Moothedan E, Gilmore N, et al. Promoting Artificial Intelligence for Global Breast Cancer Risk Prediction and Screening in Adult Women: A Scoping Review. J Clin Med. 2024;13(9).
Salama V, Godinich B, Geng Y, Humbert-Vidan L, Maule L, Wahid KA, et al. Artificial Intelligence and Machine Learning in Cancer Pain: A Systematic Review. J Pain Symptom Manage. 2024.
Salinas MP, Sepúlveda J, Hidalgo L, Peirano D, Morel M, Uribe P, et al. A systematic review and meta-analysis of artificial intelligence versus clinicians for skin cancer diagnosis. NPJ Digit Med. 2024;7(1):125.
Sanchez K, Kamal K, Manjaly P, Ly S, Mostaghimi A. Clinical Application of Artificial Intelligence for Non-melanoma Skin Cancer. Curr Treat Options Oncol. 2023;24(4):373-9.
Schreidah CM, Gordon ER, Adeuyan O, Chen C, Lapolla BA, Kent JA, et al. Current status of artificial intelligence methods for skin cancer survival analysis: a scoping review. Front Med (Lausanne). 2024;11:1243659.
Shaikh K, Mooghal M, Ameen A, Khan W, Zeeshan S, Vohra LM. Transforming breast cancer care: harnessing the power of artificial intelligence and imaging for predicting pathological complete response. a narrative review. J Pak Med Assoc. 2024;74(4 (Supple-4)):S43-s8.
Sharma A, Kumar R, Yadav G, Garg P. Artificial intelligence in intestinal polyp and colorectal cancer prediction. Cancer Lett. 2023;565:216238.
Sharma V, Singh A, Chauhan S, Sharma PK, Chaudhary S, Sharma A, et al. Role of Artificial Intelligence in Drug Discovery and Target Identification in Cancer. Curr Drug Deliv. 2024;21(6):870-86.
Shen H, Jin Z, Chen Q, Zhang L, You J, Zhang S, et al. Image-based artificial intelligence for the prediction of pathological complete response to neoadjuvant chemoradiotherapy in patients with rectal cancer: a systematic review and meta-analysis. Radiol Med. 2024;129(4):598-614.
Silva H, Santos GNM, Leite AF, Mesquita CRM, Figueiredo PTS, Stefani CM, et al. The use of artificial intelligence tools in cancer detection compared to the traditional diagnostic imaging methods: An overview of the systematic reviews. PLoS One. 2023;18(10):e0292063.
Singh SB, Sarrami AH, Gatidis S, Varniab ZS, Chaudhari A, Daldrup-Link HE. Applications of Artificial Intelligence for Pediatric Cancer Imaging. AJR Am J Roentgenol. 2024;223(2):e2431076.
Soliman A, Li Z, Parwani AV. Artificial intelligence's impact on breast cancer pathology: a literature review. Diagn Pathol. 2024;19(1):38.
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).
Spadaccini M, Troya J, Khalaf K, Facciorusso A, Maselli R, Hann A, et al. Artificial Intelligence-assisted colonoscopy and colorectal cancer screening: Where are we going? Dig Liver Dis. 2024;56(7):1148-55.
Strzelecki M, Kociołek M, Strąkowska M, Kozłowski M, Grzybowski A, Szczypiński PM. Artificial intelligence in the detection of skin cancer: State of the art. Clin Dermatol. 2024;42(3):280-95.
Suartz CV, Martinez LM, Cordeiro MD, Flores HA, Kodama S, Cardili L, et al. Artificial intelligence for predicting response to neoadjuvant chemotherapy for bladder cancer A comprehensive systematic review and meta-analysis. Can Urol Assoc J. 2024;18(9):E276-e84.
Sufyan M, Shokat Z, Ashfaq UA. Artificial intelligence in cancer diagnosis and therapy: Current status and future perspective. Comput Biol Med. 2023;165:107356.
Szymaszek P, Tyszka-Czochara M, Ortyl J. Application of Photoactive Compounds in Cancer Theranostics: Review on Recent Trends from Photoactive Chemistry to Artificial Intelligence. Molecules. 2024;29(13).
Talyshinskii A, Hameed BMZ, Ravinder PP, Naik N, Randhawa P, Shah M, et al. Catalyzing Precision Medicine: Artificial Intelligence Advancements in Prostate Cancer Diagnosis and Management. Cancers (Basel). 2024;16(10).
Thomas J, Ravichandran R, Nag A, Gupta L, Singh M, Panjiyar BK. Advancing Colorectal Cancer Screening: A Comprehensive Systematic Review of Artificial Intelligence (AI)-Assisted Versus Routine Colonoscopy. Cureus. 2023;15(9):e45278.
Uchikov P, Khalid U, Kraev K, Hristov B, Kraeva M, Tenchev T, et al. Artificial Intelligence in the Diagnosis of Colorectal Cancer: A Literature Review. Diagnostics (Basel). 2024;14(5).
van Nijnatten TJA, Payne NR, Hickman SE, Ashrafian H, Gilbert FJ. Overview of trials on artificial intelligence algorithms in breast cancer screening - A roadmap for international evaluation and implementation. Eur J Radiol. 2023;167:111087.
Vargas-Cardona HD, Rodriguez-Lopez M, Arrivillaga M, Vergara-Sanchez C, García-Cifuentes JP, Bermúdez PC, et al. Artificial intelligence for cervical cancer screening: Scoping review, 2009-2022. Int J Gynaecol Obstet. 2024;165(2):566-78.
Viñals R, Jonnalagedda M, Petignat P, Thiran JP, Vassilakos P. Artificial Intelligence-Based Cervical Cancer Screening on Images Taken during Visual Inspection with Acetic Acid: A Systematic Review. Diagnostics (Basel). 2023;13(5).
Wang HY, Lin WY, Zhou C, Yang ZA, Kalpana S, Lebowitz MS. Integrating Artificial Intelligence for Advancing Multiple-Cancer Early Detection via Serum Biomarkers: A Narrative Review. Cancers (Basel). 2024;16(5).
Wang J, Liu G, Zhou C, Cui X, Wang W, Wang J, et al. Application of artificial intelligence in cancer diagnosis and tumor nanomedicine. Nanoscale. 2024;16(30):14213-46.
Wang JG. Application and future perspectives of gastric cancer technology based on artificial intelligence. Tzu Chi Med J. 2023;35(2):148-51.
Wang L, Song Y, Wang H, Zhang X, Wang M, He J, et al. Advances of Artificial Intelligence in Anti-Cancer Drug Design: A Review of the Past Decade. Pharmaceuticals (Basel). 2023;16(2).
Wang Y, Lin W, Zhuang X, Wang X, He Y, Li L, et al. Advances in artificial intelligence for the diagnosis and treatment of ovarian cancer (Review). Oncol Rep. 2024;51(3).
Wang Z, Liu Y, Niu X. Application of artificial intelligence for improving early detection and prediction of therapeutic outcomes for gastric cancer in the era of precision oncology. Semin Cancer Biol. 2023;93:83-96.
Webster EM, Ahsan MD, Perez L, Levi SR, Thomas C, Christos P, et al. Chatbot Artificial Intelligence for Genetic Cancer Risk Assessment and Counseling: A Systematic Review and Meta-Analysis. JCO Clin Cancer Inform. 2023;7:e2300123.
Weerarathna IN, Kamble AR, Luharia A. Artificial Intelligence Applications for Biomedical Cancer Research: A Review. Cureus. 2023;15(11):e48307.
Wei ML, Tada M, So A, Torres R. Artificial intelligence and skin cancer. Front Med (Lausanne). 2024;11:1331895.
Wen D, Soltan A, Trucco E, Matin RN. From data to diagnosis: skin cancer image datasets for artificial intelligence. Clin Exp Dermatol. 2024;49(7):675-85.
Windsor GO, Bai H, Lourenco AP, Jiao Z. Application of artificial intelligence in predicting lymph node metastasis in breast cancer. Front Radiol. 2023;3:928639.
Wong EY, Chu TN, Ladi-Seyedian SS. Genomics and Artificial Intelligence: Prostate Cancer. Urol Clin North Am. 2024;51(1):27-33.
Wu X, Li W, Tu H. Big data and artificial intelligence in cancer research. Trends Cancer. 2024;10(2):147-60.
Xing W, Gao W, Lv X, Zhao Z, Xu X, Wu Z, et al. Artificial intelligence predicts lung cancer radiotherapy response: A meta-analysis. Artif Intell Med. 2023;142:102585.
Xiong DD, He RQ, Huang ZG, Wu KJ, Mo YY, Liang Y, et al. Global bibliometric mapping of the research trends in artificial intelligence-based digital pathology for lung cancer over the past two decades. Digit Health. 2024;10:20552076241277735.
Xu M, Chen Z, Zheng J, Zhao Q, Yuan Z. Artificial intelligence-aided optical imaging for cancer theranostics. Semin Cancer Biol. 2023;94:62-80.
Xu Z, Li W, Dong X, Chen Y, Zhang D, Wang J, et al. Precision medicine in colorectal cancer: Leveraging multi-omics, spatial omics, and artificial intelligence. Clin Chim Acta. 2024;559:119686.
Yan S, Li J, Wu W. Artificial intelligence in breast cancer: application and future perspectives. J Cancer Res Clin Oncol. 2023;149(17):16179-90.
Yang J, Huang J, Han D, Ma X. Artificial Intelligence Applications in the Treatment of Colorectal Cancer: A Narrative Review. Clin Med Insights Oncol. 2024;18:11795549231220320.
Yao X, Kumar MV, Su E, Flores Miranda A, Saha A, Sussman J. Evaluating the efficacy of artificial intelligence tools for the automation of systematic reviews in cancer research: A systematic review. Cancer Epidemiol. 2024;88:102511.
Yao X, Zhou Z, Mao S, Cao J, Li H. Lymph node metastasis detection using artificial intelligence in T1 colorectal cancer: A comprehensive systematic review. J Surg Oncol. 2024.
Yin Z, Yao C, Zhang L, Qi S. Application of artificial intelligence in diagnosis and treatment of colorectal cancer: A novel Prospect. Front Med (Lausanne). 2023;10:1128084.
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).
Yousif M, Pantanowitz L. Artificial Intelligence-Enabled Gastric Cancer Interpretations: Are We There yet? Surg Pathol Clin. 2023;16(4):673-86.
Zadeh Shirazi A, Tofighi M, Gharavi A, Gomez GA. The Application of Artificial Intelligence to Cancer Research: A Comprehensive Guide. Technol Cancer Res Treat. 2024;23:15330338241250324.
Zha Y, Xue C, Liu Y, Ni J, De La Fuente JM, Cui D. Artificial intelligence in theranostics of gastric cancer, a review. Med Rev (2021). 2023;3(3):214-29.
Zhang C, Xu J, Tang R, Yang J, Wang W, Yu X, et al. Novel research and future prospects of artificial intelligence in cancer diagnosis and treatment. J Hematol Oncol. 2023;16(1):114.
Zhang J, Wu J, Zhou XS, Shi F, Shen D. Recent advancements in artificial intelligence for breast cancer: Image augmentation, segmentation, diagnosis, and prognosis approaches. Semin Cancer Biol. 2023;96:11-25.
Zhang YP, Zhang XY, Cheng YT, Li B, Teng XZ, Zhang J, et al. Artificial intelligence-driven radiomics study in cancer: the role of feature engineering and modeling. Mil Med Res. 2023;10(1):22.
Zhao G, Chen X, Zhu M, Liu Y, Wang Y. Exploring the application and future outlook of Artificial intelligence in pancreatic cancer. Front Oncol. 2024;14:1345810.
Zhao LT, Liu ZY, Xie WF, Shao LZ, Lu J, Tian J, et al. What benefit can be obtained from magnetic resonance imaging diagnosis with artificial intelligence in prostate cancer compared with clinical assessments? Mil Med Res. 2023;10(1):29.
Zhao M, Li Z, Gu X, Yang X, Gao Z, Wang S, et al. The role of radiomics for predicting of lymph-vascular space invasion in cervical cancer patients based on artificial intelligence: a systematic review and meta-analysis. J Gynecol Oncol. 2024.
Zhong J, Shi J, Amundadottir LT. Artificial intelligence and improved early detection for pancreatic cancer. Innovation (Camb). 2023;4(4):100457.
Zhu L, Pan J, Mou W, Deng L, Zhu Y, Wang Y, et al. Harnessing artificial intelligence for prostate cancer management. Cell Rep Med. 2024;5(4):101506.
Ghadery M, Taslimi F, Hamel Darbandi M, Shabbak A, Ranjbarian T, Hamel Darbandi M, et al. A Narration of Orthopedic Surgery Experiences in COVID-19 Patients: Case Series of Early Complications . Updates in Emergency Medicine. 2022;2(1):34-9.
Mohammadi AT, Sanjarian S, Tehrany PM, Khorram R, Vafadar R, Mohseni H, et al. Cutting-Edge Advances in Surgery: Nobel Sciences; 2023.
Rigi A, Ghanbarzadeh E, Pourmirbabaei S, Soleymanpour A, Taslimi F, Shabbak A, et al. Clinical and Demographic Features of Burn Patients in Rasht . Updates in Emergency Medicine. 2022;2(1):60-6.
Shabbak A, Masoumkhani F, Fallah A, Amani-Beni R, Mohammadpour H, Shahbazi T, et al. 3D Printing for Cardiovascular Surgery and Intervention: A Review Article. Curr Probl Cardiol. 2024;49(1 Pt B):102086.
Farrokhi M, Taheri F, Adibnia E, Mehrtabar S, Rassaf Z, Tooyserkani SH, et al. The AI Diagnostician: Improving Medical Diagnosis with Artificial Intelligence. Kindle. 2024;4(1):1-219.
Motavaselian M, Bayati F, Amani-Beni R, Khalaji A, Haghverdi S, Abdollahi Z, et al. Diagnostic performance of magnetic resonance imaging for detection of acute appendicitis in pregnant women; a systematic review and meta-analysis. Archives of academic emergency medicine. 2022;10(1).
Motavaselian M, Farrokhi M, Khouzani PJ, Fard AM, Daeizadeh F, Pourrahimi M, et al. Diagnostic Performance of Ultrasonography for Identification of Small Bowel Obstruction; a Systematic Review and Meta-analysis. Archives of Academic Emergency Medicine. 2024;12(1).
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.
Shamabadi A, Karimi H, Arabzadeh Bahri R, Motavaselian M, Akhondzadeh S. Emerging drugs for the treatment of irritability associated with autism spectrum disorder. Expert Opinion on Emerging Drugs. 2024;29(1):45-56.
Farrokhi M, Taheri F, Tabatabaei-Nodushan SM-H. Prevalence of Idiopathic Scoliosis in Iranian School Students: A Systematic Review and Meta-analysis. Journal of Reviews in Medical Sciences. 2022;2(1):1-9.
Dehghani M, Ravanbod H, Ardakani MP, Nodushan MHT, Dehghani S, Rahmani M. Surgical versus conservative management of distal radius fracture with coronal shift; a randomized controlled trial. International Journal of Burns and Trauma. 2022;12(2):66.
Etemadifar MR, Andalib A, Rahimian A, Nodushan SMHT. Cobalt chromium-Titanium rods versus Titanium-Titanium rods for treatment of adolescent idiopathic scoliosis; which type of rod has better postoperative outcomes? Revista da Associação Médica Brasileira. 2018;64(12):1085-90.
Hatami H, Mohebbi M, Tabatabaei Nodoushan MH. Validity index of ultrasonography findings, fine needle aspiration cytology, PSA and DRE in patients suspicious for prostate cancer. Researcher Bulletin of Medical Sciences. 2024;28(1):e2.
Hedayat A, Soltani AE, Hakiminezhad M, Zareian F, Saneian M, Moradmand M, et al. Efficacy and safety of Apixaban for the prevention of thrombosis in arteriovenous grafts. European Journal of Translational Myology. 2024;34(1).
Jafari R, Cegolon L, Dehghanpoor F, Javanbakht M, Tabatabaei SMH. Typical Covid-19 case with primary pneumomediastinum in a 37 year old male. Radiology Case Reports. 2021;16(8):2286-8.
Kamani F, Ghorbani H, Mahmoudabadi FD, Chavoshinejad M, Hakiminezhad M, Zareifar N, et al. Modified Lichtenstein hernioplasty with concomitant tissue repair: a retrospective study on postoperative chronic pain. BMC Surg. 2024;24(1):222.
Saadat SH, Izadi M, Jonaidi Jafari N, Abolghasemi H, Jamalimoghadamsiyahkali S, Jamalian A, et al. Fear and Panic of COVID-19. International Journal of Travel Medicine and Global Health. 2020;8(3):91-2.
Tahririan MA, Nodushan SMHT, Farrokhi M. Chronic recurrent multifocal osteomyelitis in a 3.5-year-old boy. Journal of Research in Medical Sciences. 2021;26(1):32.
Farrokhi M, Khouzani SJ, Farrokhi M, Jalayeri H, Faranoush P, Babaei M, et al. Artificial Intelligence and Deep Learning for Screening and Risk Assessment of Cancers. Kindle. 2024;4(1):1-140.
Farrokhi M, Taheri F, Bayat Z, Damiri M, Farrokhi M, Ghadirzadeh E, et al. Role of Lifestyle Medicine in the Prevention and Treatment of Diseases. Kindle. 2024;4(1):1-219.
Farrokhi M, Taheri F, Farrokhi M, Emtiazi N, Talebi M, Akbari A, et al. Human and AI: Collaborative Medicine in the Age of Technology. Kindle. 2024;4(1):1-160.
Farrokhi M, Taheri F, Farrokhi M, Heydari Z, Darbani R, Salbi M, et al. Advancements and Innovations in Cancer Management: A Comprehensive Perspective. Kindle. 2024;4(1):1-161.
Farrokhi M, Taheri F, Farrokhi M, Moeini A, Tooyserkani SH, Shahali A, et al. Anti-Aging Strategies to Prevent Diseases: Promoting Longevity and Optimal Health. Kindle. 2024;4(1):1-194.
Farrokhi M, Taheri F, Farrokhi M, Tosi YEK, Ghadirzadeh E, Bagheri M, et al. Nanomedicine: Technologies and Applications. Kindle. 2024;4(1):1-196.
Farrokhi M, Taheri F, Moeini A, Farrokhi M, Alireza MZS, Farahmandsadr M, et al. Artificial Intelligence for Remote Patient Monitoring: Advancements, Applications, and Challenges. Kindle. 2024;4(1):1-261.
Farrokhi M, Taheri F, Moeini A, Farrokhi M, Khouzani PJ, Ghadirzadeh E, et al. Artificial Intelligence for Drug Development, Personalized Prescriptions, and Adverse Event Prediction. Kindle. 2024;4(1):1-180.
Karimian S, Taheri F, Farrokhi M, Farrokhi M, Bayat Z, Zadeh SAM, et al. Digital Health and Wearable Technologies. Kindle. 2024;4(1):1-240.
Taheri F, Farrokhi M, Rajabloo Y, Razavi N, Shirdel E, Hooshiar MH, et al. Complementary and alternative medicine (CAM). Kindle. 2024;4(1):1-193.
Goncalves Leite Rocco P, Reategui-Rivera CM, Finkelstein J. Telemedicine Applications for Cancer Rehabilitation: Scoping Review. JMIR Cancer. 2024;10:e56969.
Mashoudy KD, Perez SM, Nouri K. From diagnosis to intervention: a review of telemedicine's role in skin cancer care. Arch Dermatol Res. 2024;316(5):139.
Agochukwu NQ, Skolarus TA, Wittmann D. Telemedicine and prostate cancer survivorship: a narrative review. Mhealth. 2018;4:45.
Khoury ZH, Sultan AS. Tele-Oral Oncology: Reinvigorating Telemedicine in Oral Cancer Care. J Cancer Allied Spec. 2020;6(1):e335.
Shalowitz DI, Moore CJ. Telemedicine and Gynecologic Cancer Care. Obstet Gynecol Clin North Am. 2020;47(2):271-85.
Chan RJ, Crichton M, Crawford-Williams F, Agbejule OA, Yu K, Hart NH, et al. The efficacy, challenges, and facilitators of telemedicine in post-treatment cancer survivorship care: an overview of systematic reviews. Ann Oncol. 2021;32(12):1552-70.
Almubarak H. The Potential Role of Telemedicine in Early Detection of Oral Cancer: A Literature Review. J Pharm Bioallied Sci. 2022;14(Suppl 1):S19-s23.
Deo SV, Pramanik R, Chaturvedi M, Nath A, Ghosh J, Das Majumdar SK, et al. Telemedicine and cancer care in India: promises, opportunities and caveats. Future Sci OA. 2022;8(9):Fso821.
Garavand A, Aslani N, Behmanesh A, Shams R. Telemedicine in lung cancer during COVID-19 outbreak: A scoping review. J Educ Health Promot. 2022;11:348.
Jakeman M, Khaw R, Zack-Williams S, Brackley P. Implementation of a telemedicine service to provide skin cancer care in a tertiary plastic surgery unit during COVID-19 - a comprehensive review. J Plast Reconstr Aesthet Surg. 2022;75(9):3608-15.
Mostafaei A, Sadeghi-Ghyassi F, Kabiri N, Hajebrahimi S. Experiences of patients and providers while using telemedicine in cancer care during COVID-19 pandemic: a systematic review and meta-synthesis of qualitative literature. Support Care Cancer. 2022;30(12):10483-94.
Pang NQ, Lau J, Fong SY, Wong CY, Tan KK. Telemedicine Acceptance Among Older Adult Patients With Cancer: Scoping Review. J Med Internet Res. 2022;24(3):e28724.
Tang M, Reddy A. Telemedicine and Its Past, Present, and Future Roles in Providing Palliative Care to Advanced Cancer Patients. Cancers (Basel). 2022;14(8).
Uemoto Y, Yamanaka T, Kataoka Y, Wada Y, Aoyama Y, Kizawa R, et al. Efficacy of Telemedicine Using Videoconferencing Systems in Outpatient Care for Patients With Cancer: A Systematic Review and Meta-Analysis. JCO Clin Cancer Inform. 2022;6:e2200084.
West HJ, Barzi A, Wong D. Telemedicine in Cancer Care Beyond the COVID-19 Pandemic: Oncology 2.0? Curr Oncol Rep. 2022;24(12):1843-50.
Giustiniani A, Danesin L, Pezzetta R, Masina F, Oliva G, Arcara G, et al. Use of Telemedicine to Improve Cognitive Functions and Psychological Well-Being in Patients with Breast Cancer: A Systematic Review of the Current Literature. Cancers (Basel). 2023;15(4).
Davidoff C, Cheville A. Telemedicine in Cancer Rehabilitation: Applications and Opportunities Across the Cancer Care Continuum. Am J Phys Med Rehabil. 2024;103(3S Suppl 1):S52-s7.
Doshi SD, Bange EM, Daly B, Kuperman G, Panageas KS, Morris MJ. Telemedicine and Cancer Care: Barriers and Strategies to Optimize Delivery. Cancer J. 2024;30(1):8-15.
Ren L, Chen M, Jiang H, Wang Y, Xia L, Dong C. Perceptions of adult patients with cancer towards telemedicine: A qualitative meta-synthesis. Asia Pac J Oncol Nurs. 2024;11(2):100360.
Toni E, Ayatollahi H. An insight into the use of telemedicine technology for cancer patients during the Covid-19 pandemic: a scoping review. BMC Med Inform Decis Mak. 2024;24(1):104.
Silver FH, Mesica A, Gonzalez-Mercedes M, Deshmukh T. Identification of Cancerous Skin Lesions Using Vibrational Optical Coherence Tomography (VOCT): Use of VOCT in Conjunction with Machine Learning to Diagnose Skin Cancer Remotely Using Telemedicine. Cancers (Basel). 2022;15(1).
Cascella M, Scarpati G, Bignami EG, Cuomo A, Vittori A, Di Gennaro P, et al. Utilizing an artificial intelligence framework (conditional generative adversarial network) to enhance telemedicine strategies for cancer pain management. J Anesth Analg Crit Care. 2023;3(1):19.
Kabukye JK, Namugga J, Mpamani CJ, Katumba A, Nakatumba-Nabende J, Nabuuma H, et al. Implementing Smartphone-Based Telemedicine for Cervical Cancer Screening in Uganda: Qualitative Study of Stakeholders' Perceptions. J Med Internet Res. 2023;25:e45132.
Cui F, Zhang X, He X, Liu D, Shi J, Ye M, et al. Clinical applications of telemedicine services using a regional telemedicine platform for cancer treatment: a cross-sectional study. BMC Cancer. 2024;24(1):808.
Tao W, Yu X, Shao J, Li R, Li W. Telemedicine-Enhanced Lung Cancer Screening Using Mobile Computed Tomography Unit with Remote Artificial Intelligence Assistance in Underserved Communities: Initial Results of a Population Cohort Study in Western China. Telemed J E Health. 2024;30(6):e1695-e704.
von Itzstein MS, Gwin ME, Gupta A, Gerber DE. Telemedicine and Cancer Clinical Research: Opportunities for Transformation. Cancer J. 2024;30(1):22-6.
Bansal V, Pingenot E, 3rd, Huh B, Javed S. Trends of opioid prescription in cancer patients utilizing telemedicine: a retrospective study. Pain Manag. 2023;13(9):509-17.
Calton BA, Nouri S, Davila C, Kotwal A, Zapata C, Bischoff KE. Strategies to Make Telemedicine a Friend, Not a Foe, in the Provision of Accessible and Equitable Cancer Care. Cancers (Basel). 2023;15(21).
Casà C, Corvari B, Cellini F, Cornacchione P, D'Aviero A, Reina S, et al. KIT 1 (Keep in Touch) Project-Televisits for Cancer Patients during Italian Lockdown for COVID-19 Pandemic: The Real-World Experience of Establishing a Telemedicine System. Healthcare (Basel). 2023;11(13).
Chimonas S, Lipitz-Snyderman A, Spiegelhoff Z, Chakraborty N, Seier K, White C, et al. Persistence of Telemedicine Usage for Breast and Prostate Cancer after the Peak of the COVID-19 Pandemic. Cancers (Basel). 2023;15(20).
Guadamuz JS, Wang X, Royce TJ, Calip GS. Sociodemographic Inequities in Telemedicine Use Among US Patients Initiating Treatment in Community Cancer Centers During the Ongoing COVID-19 Pandemic, 2020-2022. JCO Oncol Pract. 2023;19(12):1206-14.
Ha DM, Comer A, Dollar B, Bedoy R, Ford M, Gozansky WS, et al. Telemedicine-based inspiratory muscle training and walking promotion with lung cancer survivors following curative intent therapy: a parallel-group pilot randomized trial. Support Care Cancer. 2023;31(9):546.
Larbre V, Romain-Scelle N, Reymond P, Ladjouzi Y, Herledan C, Caffin AG, et al. Cancer outpatients during the COVID-19 pandemic: what Oncoral has to teach us about medical drug use and the perception of telemedicine. J Cancer Res Clin Oncol. 2023;149(14):13301-10.
Ma Z, Shi Y, Yao S, Lu N, Cheng F. Effectiveness of telemedicine-based psychosocial intervention for breast cancer patients: a systematic review and meta-analysis. Support Care Cancer. 2023;31(10):595.
Shusted CS, Juon HS, Ruane B, Till B, Zeigler-Johnson C, McIntire RK, et al. Individual- and neighborhood-level characteristics of lung cancer screening participants undergoing telemedicine shared decision making. BMC Health Serv Res. 2023;23(1):1179.
Bange EM, Li Y, Kumar P, Doucette A, Gabriel P, Parikh R, et al. The association between telemedicine, advance care planning, and unplanned hospitalizations among high-risk patients with cancer. Cancer. 2024;130(4):636-44.
Boehm L, Jalbuena T, Haskins A, Holt C, Speckhart SA. Preference of Young Adult Cancer Survivors for In-Person Versus Telemedicine Cancer Survivorship Visits. J Adolesc Young Adult Oncol. 2024;13(3):573-6.
Chiang AC. Telemedicine and Cancer: Shifting a Paradigm of Care. Cancer J. 2024;30(1):1.
Dhawale TM, Bhat RS, Johnson PC, Srikonda S, Lau-Min KS, Boateng K, et al. Telemedicine-based serious illness conversations, healthcare utilization, and end of life care among patients with advanced lung cancer. Oncologist. 2024.
Endo Y, Woldesenbet S, Tsilimigras DI, Munir MM, Khalil M, Khan MMM, et al. Effect of telemedicine use on medical spending and health care utilization among patients with gastrointestinal cancer. J Gastrointest Surg. 2024;28(9):1456-62.
Farmaki A, Schmitt T, Natsiavas P. Exploring User Views on Telemedicine to Support Cancer Patients: Insights from Focus Group Discussions in the Context of the eCAN Joint Action. Stud Health Technol Inform. 2024;316:55-6.
Freeman JQ, Khwaja A, Zhao F, Nanda R, Olopade OI, Huo D. Racial/Ethnic Disparities in Telemedicine Utilization and Satisfaction Among Breast Cancer Patients During the COVID-19 Pandemic: A Mixed-Methods Analysis. Telemed J E Health. 2024;30(3):651-63.
Freeman JQ, Zhao F, Howard FM, Nanda R, Olopade OI, Huo D. Assessing the Relationship Between Neighborhood Socioeconomic Disadvantage and Telemedicine Use Among Patients With Breast Cancer and Examining Differential Provisions of Oncology Services Between Telehealth and In-Person Visits: Quantitative Study. JMIR Cancer. 2024;10:e55438.
Gadzinski AJ, Dwyer EM, Reynolds J, Stewart B, Abarro I, Wolff EM, et al. Interstate Telemedicine for Urologic Cancer Care. J Urol. 2024;211(1):55-62.
Guo J, Xu X, Liu C, Wang Y, Chen Y. Perspectives of telemedicine-based services among family caregivers of patients with end-of-life cancer: a qualitative study in mainland China. BMC Palliat Care. 2024;23(1):16.
Hung TKW, Verdini NP, Gilliland JL, Chimonas S, Cracchiolo JR, Li Y, et al. When Is Telemedicine Appropriate in the Management of Head and Neck Cancer? A Mixed-Methods Assessment Among Patients and Physicians. JCO Oncol Pract. 2024;20(8):1091-102.
Lee M, Tsai MH, Tillewein H, Luckey GS. Rural-Urban Disparities in Telemedicine Use Among U.S. Adults with Cancer. Telemed J E Health. 2024;30(6):1539-48.
Leong D, Ng A, Chang P, Zheng J, Wilson R, Chen ME, et al. Telemedicine impact on patient disparities and physician practice patterns in cancer rehabilitation: A multicenter retrospective study. Pm r. 2024.
Lichtenstein MRL, Levit LA, Schenkel C, Kirkwood K, Fashoyin-Aje LA, Bruinooge SS, et al. Researcher Experience and Comfort With Telemedicine and Remote Patient Monitoring in Cancer Treatment Trials. Oncologist. 2024;29(4):356-63.
Mali SB. Role of telemedicine in head neck cancer. Oral Oncol. 2024;151:106746.
Nasir KS, Badar F, Yusuf MA. Using Telemedicine to Care for Patients with Breast Cancer: A Natural Quasi-Experimental Study. J Cancer Allied Spec. 2024;10(2):679.
Ng AH, Tennison J, Fu JB, Gupta E, Lu Z, Bruera E. Predictors of a Preference for Telemedicine Virtual Visits in Patients Undergoing Cancer Rehabilitation. Am J Phys Med Rehabil. 2024;103(9):835-9.
Okoye F, Gadzinski AJ, Sekar R, Abarro I, Grivas P, Tykodi SS, et al. Telemedicine for Multidisciplinary Urologic Cancer Care: A Prospective Single Institution Study. Clin Genitourin Cancer. 2024;22(3):102058.
Quan H, Wang H, Yang Y, Yu H. The Safety and Effectiveness of Telemedicine for Cancer-Related Colostomy Care in the Early Stage of Discharge: A Prospective, Randomized, Single-Center Study. Telemed Rep. 2024;5(1):212-8.
Singh N, Tanwar P, Singhal S, Mohan T, Mittal C, Mangal S, et al. Novel Strategy of Training the Accredited Social Health Activists via Application-Based Telemedicine for Cervical Cancer Screening by Human Papillomavirus Self-Sampling: The TRACK Study. JCO Glob Oncol. 2024;10:e2400158.
Smith AJB, Gleason EG, Andriani L, Heintz J, Ko EM. Variation in telemedicine usage in gynecologic cancer: Are we widening or narrowing disparities? Gynecol Oncol. 2024;184:160-7.
