This paper is in the following e-collection/theme issue:

Reviews in Medical Education (86) Ethical, Legal, and Social Issues in AI (108) Artificial Intelligence (AI) in Medical Education (198) Artificial Intelligence (2192)

Published on in Vol 11 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/58161, first published .
AI in the Health Sector: Systematic Review of Key Skills for Future Health Professionals

AI in the Health Sector: Systematic Review of Key Skills for Future Health Professionals

AI in the Health Sector: Systematic Review of Key Skills for Future Health Professionals

Authors of this article:

Javier Gazquez-Garcia1 Author Orcid Image ;   Carlos Luis Sánchez-Bocanegra2 Author Orcid Image ;   Jose Luis Sevillano3 Author Orcid Image
Article Authors Cited by (15) Tweetations (5) Metrics

Journals

  1. Chen Y, Zhan X, Yang W, Yan X, Du Y, Zhao T. A NLP analysis of digital demand for healthcare jobs in China. Scientific Reports 2025;15(1) View
  2. Rath A. Empowering Future Dentists: A Comprehensive Mixed‐Methods Exploration of Artificial Intelligence in Personalizing Year 3 Clinical Dental Practice Education. Journal of Dental Education 2025 View
  3. Scott I, van der Vegt A, Canaris S, Nolan P, Pointon K. Preparing healthcare organisations for using artificial intelligence effectively. Australian Health Review 2025;49(4) View
  4. Jongkind R, Bikker Y, Meinema J, Broens T. Studying with GenAI: cross-sectional study on usage patterns, needs, competencies, and ethical perspectives of medical informatics students. Frontiers in Education 2025;10 View
  5. Workum J, Meyfroidt G, Bakker J, Jung C, Tobin J, Gommers D, Elbers P, van der Hoeven J, Van Genderen M. AI in critical care: A roadmap to the future. Journal of Critical Care 2026;91:155262 View
  6. Dambha-Miller H, Simpson G, Smith L, Finney J, Zghebi S, Hughes S, Keevil V, Yu G, MacRae C, Khunti K, McCowan C. Addressing methodological challenges in multiple long-term conditions research: A stakeholder workshop using a nominal group technique method. Journal of Multimorbidity and Comorbidity 2025;15 View
  7. Akingbola A, Adegbesan A, Tundealao S, Benson A, Makinde A, Shekoni M, Animashaun K, Fakiyesi T. Post-pandemic era: global trends, benefits, and barriers in integrating artificial intelligence into public health education. Frontiers in Public Health 2025;13 View
  8. Wang M, Chang W, Zhang Y. Artificial Intelligence for the Diagnosis and Management of Cancers: Potentials and Challenges. MedComm 2025;6(11) View
  9. Lei I, Marlicz W, Arasaradnam R, Koulaouzidis A. Clinical Reformation in the Age of Artificial Intelligence: Safeguarding the Ethical Centre of Medicine. Mayo Clinic Proceedings: Digital Health 2026;4(1):100310 View
  10. Chatzichristos C, Chatzichristos G, Borremans I, Gruyaert S, De Vos I, De Vos M, De Backere F. Bridging the AI-Literacy Gap in Health Care: Qualitative Analysis of the Flanders Case Study. Journal of Medical Internet Research 2025;27:e76709 View
  11. Toofaninejad E, Mirzaei S, Mahdavi Shakib A, Gholipour Morad Dashtaki D, Raoufian H, Mirmoghtadaie Z, Sohrabi S. Mapping the Landscape: A Systematic Review of Technology Trends in Medical Education and Competency Development. Advances in Medical Education and Practice 2025;Volume 16:2369 View
  12. Yousefi F, Dehnavieh R, Laberge M, Haghdoost A, Sasseville M, Hekmat S, Ghaemi M, Nadali M. Integrating Artificial Intelligence (AI) in Primary Health Care (PHC) Systems: A Framework-Guided Comparative Qualitative Study. Healthcare 2026;14(2):145 View
  13. Azzam S, El-Morsy E, Said A, Eissa N, Khalil D. Perception and awareness of healthcare professionals toward the applications of artificial intelligence in Egyptian healthcare settings. Frontiers in Artificial Intelligence 2026;8 View

Books/Policy Documents

  1. Hirosawa T. Artificial Intelligence in Medical Diagnostics. View
  2. Dabbagh A, Madadi F, Sassan Sabouri A. Postoperative Critical Care for Adult Cardiac Surgical Patients. View