Published on in Vol 8, No 2 (2022): Apr-Jun

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/34973, first published .
Readiness to Embrace Artificial Intelligence Among Medical Doctors and Students: Questionnaire-Based Study

Readiness to Embrace Artificial Intelligence Among Medical Doctors and Students: Questionnaire-Based Study

Readiness to Embrace Artificial Intelligence Among Medical Doctors and Students: Questionnaire-Based Study

Authors of this article:

Thomas Boillat1 Author Orcid Image ;   Faisal A Nawaz2 Author Orcid Image ;   Homero Rivas1 Author Orcid Image

Journals

  1. Aboalshamat K, Alhuzali R, Alalyani A, Alsharif S, Qadhi H, Almatrafi R, Ammash D, Alotaibi S. Medical and Dental Professionals Readiness for Artificial Intelligence for Saudi Arabia Vision 2030. International Journal of Pharmaceutical Research And Allied Sciences 2022;11(4):52 View
  2. Pinnock H, Murphie P, Vogiatzis I, Poberezhets V. Telemedicine and virtual respiratory care in the era of COVID-19. ERJ Open Research 2022;8(3):00111-2022 View
  3. Mousavi Baigi S, Sarbaz M, Ghaddaripouri K, Ghaddaripouri M, Mousavi A, Kimiafar K. Attitudes, knowledge, and skills towards artificial intelligence among healthcare students: A systematic review. Health Science Reports 2023;6(3) View
  4. Wagner G, Raymond L, Paré G. Understanding Prospective Physicians’ Intention to Use Artificial Intelligence in Their Future Medical Practice: Configurational Analysis. JMIR Medical Education 2023;9:e45631 View
  5. Taskiran N. Effect of Artificial Intelligence Course in Nursing on Students' Medical Artificial Intelligence Readiness. Nurse Educator 2023;48(5):E147 View
  6. Alanazi A. Clinicians’ Views on Using Artificial Intelligence in Healthcare: Opportunities, Challenges, and Beyond. Cureus 2023 View
  7. Macri C, Teoh S, Bacchi S, Tan I, Casson R, Sun M, Selva D, Chan W. A case study in applying artificial intelligence-based named entity recognition to develop an automated ophthalmic disease registry. Graefe's Archive for Clinical and Experimental Ophthalmology 2023;261(11):3335 View
  8. Barbour A, Barbour T. A Radiation Oncology Board Exam of ChatGPT. Cureus 2023 View
  9. Chadaga K, Prabhu S, Bhat V, Sampathila N, Umakanth S, Upadya P S. COVID-19 diagnosis using clinical markers and multiple explainable artificial intelligence approaches: A case study from Ecuador. SLAS Technology 2023;28(6):393 View
  10. Rezazadeh H, Ahmadipour H, Salajegheh M. Psychometric evaluation of Persian version of medical artificial intelligence readiness scale for medical students. BMC Medical Education 2023;23(1) View
  11. Moodi Ghalibaf A, Moghadasin M, Emadzadeh A, Mastour H. Psychometric properties of the persian version of the Medical Artificial Intelligence Readiness Scale for Medical Students (MAIRS-MS). BMC Medical Education 2023;23(1) View
  12. Alanzi T, Alanazi F, Mashhour B, Altalhi R, Alghamdi A, Al Shubbar M, Alamro S, Alshammari M, Almusmili L, Alanazi L, Alzahrani S, Alalouni R, Alanzi N, Alsharifa A. Surveying Hematologists’ Perceptions and Readiness to Embrace Artificial Intelligence in Diagnosis and Treatment Decision-Making. Cureus 2023 View
  13. He X, Zheng X, Ding H. Existing Barriers Faced by and Future Design Recommendations for Direct-to-Consumer Health Care Artificial Intelligence Apps: Scoping Review. Journal of Medical Internet Research 2023;25:e50342 View
  14. Gordon M, Daniel M, Ajiboye A, Uraiby H, Xu N, Bartlett R, Hanson J, Haas M, Spadafore M, Grafton-Clarke C, Gasiea R, Michie C, Corral J, Kwan B, Dolmans D, Thammasitboon S. A scoping review of artificial intelligence in medical education: BEME Guide No. 84. Medical Teacher 2024;46(4):446 View
  15. EMİR B, YURDEM T, OZEL T, SAYAR T, UZUN T, AKAR U, COLAK U. Artificial Intelligence Readiness Status of Medical Faculty Students. Konuralp Tıp Dergisi 2024;16(1):88 View
  16. Lin G, Tan W, Hashim H. Students' perceptions towards the ethical considerations of using artificial intelligence algorithms in clinical decision-making. British Dental Journal 2024 View
  17. Tezpal M, Ghosh S, Lalwani R, Yadav J, Yadav A. Artificial Intelligence in Health Care – A Study on Perceptions of and Readiness for Artificial Intelligence in Health-care Professionals. Journal of Marine Medical Society 2024;26(3):376 View
  18. Jebreen K, Radwan E, Kammoun-Rebai W, Alattar E, Radwan A, Safi W, Radwan W, Alajez M. Perceptions of undergraduate medical students on artificial intelligence in medicine: mixed-methods survey study from Palestine. BMC Medical Education 2024;24(1) View
  19. Daniyal M, Qureshi M, Marzo R, Aljuaid M, Shahid D. Exploring clinical specialists’ perspectives on the future role of AI: evaluating replacement perceptions, benefits, and drawbacks. BMC Health Services Research 2024;24(1) View
  20. Balay-odao E, Omirzakova D, Bolla S, Almazan J, Cruz J. Health professions students’ perceptions of artificial intelligence and its integration to health professions education and healthcare: a thematic analysis. AI & SOCIETY 2024 View
  21. Demir-Kaymak Z, Turan Z, Unlu-Bidik N, Unkazan S. Effects of midwifery and nursing students' readiness about medical Artificial intelligence on Artificial intelligence anxiety. Nurse Education in Practice 2024;78:103994 View
  22. Hammoudi Halat D, Shami R, Daud A, Sami W, Soltani A, Malki A. Artificial Intelligence Readiness, Perceptions, and Educational Needs Among Dental Students: A Cross‐Sectional Study. Clinical and Experimental Dental Research 2024;10(4) View
  23. Gencer A. Readability analysis of ChatGPT's responses on lung cancer. Scientific Reports 2024;14(1) View
  24. BAŞAR E, KES ERKUL A. Factors Affecting the Attitude of Medical Doctors in Türkiye towards Using Artificial Intelligence Applications in Healthcare Services. Bezmialem Science 2024:297 View
  25. Pawelczyk J, Kraus M, Eckl L, Nehrer S, Aurich M, Izadpanah K, Siebenlist S, Rupp M. Attitude of aspiring orthopaedic surgeons towards artificial intelligence: a multinational cross-sectional survey study. Archives of Orthopaedic and Trauma Surgery 2024;144(8):3541 View
  26. Malešević A, Kolesárová M, Čartolovni A. Encompassing trust in medical AI from the perspective of medical students: a quantitative comparative study. BMC Medical Ethics 2024;25(1) View
  27. Whitrock J, Pratt C, Carter M, Chae R, Price A, Justiniano C, Van Haren R, Silski L, Quillin R, Shah S. Does using artificial intelligence take the person out of personal statements? We can't tell. Surgery 2024;176(6):1610 View
  28. Boillat T, Otaki F, Baghestani A, Zarnegar L, Kellett C. A landscape analysis of digital health technology in medical schools: preparing students for the future of health care. BMC Medical Education 2024;24(1) View
  29. Zheng C, Gao L, Sun H, Zhao X, Gao Z, Liu J, Guo W. Advancements in enzymatic reaction-mediated microbial transformation. Heliyon 2024;10(19):e38187 View
  30. Hamad M, Qtaishat F, Mhairat E, AL-Qunbar A, Jaradat M, Mousa A, Faidi B, Alkhaldi S. Artificial Intelligence Readiness Among Jordanian Medical Students: Using Medical Artificial Intelligence Readiness Scale For Medical Students (MAIRS-MS). Journal of Medical Education and Curricular Development 2024;11 View
  31. Mansour T, Bick M. How can physicians adopt AI-based applications in the United Arab Emirates to improve patient outcomes?. DIGITAL HEALTH 2024;10 View
  32. Luong J, Tzang C, McWatt S, Brassett C, Stearns D, Sagoo M, Kunzel C, Sakurai T, Chien C, Noel G, Wu A. Exploring Artificial Intelligence Readiness in Medical Students: Analysis of a Global Survey. Medical Science Educator 2024 View

Books/Policy Documents

  1. Oukhouya L, Ouhader H, Derkaoui G, Messoussi M, Yanisse S, Sbai A. Digital Technologies and Applications. View