Published on in Vol 8, No 4 (2022): Oct-Dec

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/38325, first published .
Perceptions of US Medical Students on Artificial Intelligence in Medicine: Mixed Methods Survey Study

Perceptions of US Medical Students on Artificial Intelligence in Medicine: Mixed Methods Survey Study

Perceptions of US Medical Students on Artificial Intelligence in Medicine: Mixed Methods Survey Study

Journals

  1. Shu C, Chen Y, Yang H, Tao R, Chen X, Yu J. Investigation and Countermeasures Research of Hospital Information Construction of Tertiary Class-A Public Hospitals in China: Questionnaire Study. JMIR Formative Research 2023;7:e41820 View
  2. Hathaway Q, Hogg J, Lakhani D. Need for Medical Student Education in Emerging Technologies and Artificial Intelligence: Fostering Enthusiasm, Rather Than Flight, From Specialties Most Affected by Emerging Technologies. Academic Radiology 2023;30(8):1770 View
  3. Syed W, Basil A. Al-Rawi M. Assessment of Awareness, Perceptions, and Opinions towards Artificial Intelligence among Healthcare Students in Riyadh, Saudi Arabia. Medicina 2023;59(5):828 View
  4. Morjaria L, Burns L, Bracken K, Ngo Q, Lee M, Levinson A, Smith J, Thompson P, Sibbald M. Examining the Threat of ChatGPT to the Validity of Short Answer Assessments in an Undergraduate Medical Program. Journal of Medical Education and Curricular Development 2023;10 View
  5. 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
  6. Elnaggar M, Alharbi Z, Alanazi A, Alsaiari S, Alhemaidani A, Alanazi S, Alanazi M. Assessment of the Perception and Worries of Saudi Healthcare Providers About the Application of Artificial Intelligence in Saudi Health Facilities. Cureus 2023 View
  7. Brennan P, Cookson J, Brennan E, Melville C. United Kingdom medical student expansion – Can new medical schools seize the initiative?. British Journal of Oral and Maxillofacial Surgery 2023;61(8):522 View
  8. Truong N, Vo T, Tran H, Nguyen H, Pham V. Healthcare students’ knowledge, attitudes, and perspectives toward artificial intelligence in the southern Vietnam. Heliyon 2023;9(12):e22653 View
  9. Alkhaaldi S, Kassab C, Dimassi Z, Oyoun Alsoud L, Al Fahim M, Al Hageh C, Ibrahim H. Medical Student Experiences and Perceptions of ChatGPT and Artificial Intelligence: Cross-Sectional Study. JMIR Medical Education 2023;9:e51302 View
  10. 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
  11. Heredia-Negrón F, Tosado-Rodríguez E, Meléndez-Berrios J, Nieves B, Amaya-Ardila C, Roche-Lima A. Assessing the Impact of AI Education on Hispanic Healthcare Professionals’ Perceptions and Knowledge. Education Sciences 2024;14(4):339 View
  12. Amiri H, Peiravi S, rezazadeh shojaee S, Rouhparvarzamin M, Nateghi M, Etemadi M, ShojaeiBaghini M, Musaie F, Anvari M, Asadi Anar M. Medical, dental, and nursing students’ attitudes and knowledge towards artificial intelligence: a systematic review and meta-analysis. BMC Medical Education 2024;24(1) View
  13. 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
  14. 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

Books/Policy Documents

  1. Kismawadi E. Exploring the Ethical Implications of Generative AI. View