AI-assisted Screening and Prevention Programs for Diseases

Authors

  • 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

Keywords:

Artificial Intelligence , Screening , Prevention

Abstract

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.

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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.

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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.

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AI-assisted Screening and Prevention Programs for Diseases

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Published

2023-12-12

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 https://preferpub.org/index.php/kindle/article/view/Book30

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