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

Reviews in Medical Education (91) Artificial Intelligence (2398) Artificial Intelligence (AI) in Medical Education (238) Ethical, Legal, and Social Issues in AI (126)

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 (33) 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 2026;90(2):218 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
  14. van Zyl L. The competence paradox: when psychologists overestimate their understanding of Artificial Intelligence. AI & SOCIETY 2026 View
  15. Cao W, Zhang Q, Liu J, Liu S. From Agents to Governance: Essential AI Skills for Clinicians in the Large Language Model Era. Journal of Medical Internet Research 2026;28:e86550 View
  16. Simba R, Hussein H, Mwogosi A. A community-based AI and data science practicum: enhancing health information science education in Tanzania’s healthcare. Information and Learning Sciences 2026;127(1-2):92 View
  17. Lee J, Min Y, Yim J, Park K, Yune S. Mediating effect of technostress on the relationship between artificial intelligence literacy and attitude toward digital technology among health professions students: a structural equation modeling approach. Journal of Yeungnam Medical Science 2025;43:7 View
  18. Duus R, Cooray M, Lilley S. AI adoption in healthcare organizations: Spheres of development and the virtue of visible value. Technological Forecasting and Social Change 2026;226:124541 View
  19. Robbertz A, Harrison L, Crosby L. Large language model applications for pediatric psychology. Journal of Pediatric Psychology 2026 View
  20. Naum A, Gordon R, Deogaonkar A, Madani M, Heilbroner L, Kokoneshi K, Borum M. Artificial intelligence in clinical practice: Usage trends and educational implications across the medical hierarchy. Journal of the National Medical Association 2026 View
  21. Daniel R, V N, BN S, Daniel A, R V. Integrating ChatGPT into knowledge-retrieval tutorials in undergraduate medical education: a prospective evaluation of higher-order learning and feasibility. Medical Education Online 2026;31(1) View
  22. Borzanović A, Klašnja-Milićević A, Papić-Blagojević N, Ivanović M. European Health Care Professionals' Readiness, Benefits, and Ethical Concerns Regarding Generative AI in Continuing Education. Journal of Continuing Education in the Health Professions 2026 View
  23. Tsuei S. AI Competency: Current State and Challenges. JMIR Medical Education 2026;12:e86686 View
  24. Kotzki S, Massonnet Turner C, Vuillerme N. Questionnaires on Perceptions of Artificial Intelligence in Health Care Among Health Care Students: Cross-Cultural Translation Into French and Linguistic Validation. JMIR Medical Education 2026;12:e76572 View
  25. Almashni S, Fayek F, Javens D, Boulis M, Makary M. Evolving and novel applications of artificial intelligence in interventional oncology. World Journal of Clinical Oncology 2026;17(3) View
  26. Sarıçoban S, Erbay E, Yalçın Ulutaş G, Dökme Yağar S, Cengiz C, Gerçek E, Yağar F. SKILLS FOR TOMORROW’S HEALTHCARE: A STUDY ON HEALTHCARE PROFESSIONALS. Anadolu Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi 2026;27(1):429 View
  27. Naffi N, El Bahlouli Y, Fortier N, Doumbouya M, Shakeraneh S, Al Faraj D, Gregoire J, Beaulieu N, Whelan K. Intelligence artificielle et formation des professionnels de la santé : une revue intégrative des apports, défis et enjeux de médiation. Médiations et médiatisations 2026;(25) View
  28. Xiang Y, Shi H, Ren K, Yang X, Li L, Zhao Q, Huang H. An artificial intelligence application framework for nursing education: a scoping review based on the KAS model. BMC Medical Education 2026 View
  29. Gupta L, Kanda M, Mahbub‐Uz‐Zaman K, Khanna S, Dai Y, Venerito V, Day D, Bautista‐Molano W, Yoshida T, El Maghraoui A, Mu R, Harifi G, Edwards C, Xu C. Large Language Model Use and Training Needs Among Rheumatologists: An APLAR Young Rheumatologists International Survey. International Journal of Rheumatic Diseases 2026;29(4) 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

Conference Proceedings

  1. Behboudi A, Irgens G, Markatos A, Lane A. 2025 IEEE Frontiers in Education Conference (FIE). From Consumers to Creators: Critical Machine Learning (CML) Program for Middle School-Aged Students View
  2. Barakat O, Bouhsain I, Elassimi T. 2025 IEEE International Conference on Advanced Technologies in Supply Chain Management (ATSCM). Artificial Intelligence and Skills Transformation: The Case of the Healthcare Sector in Morocco View