Accessibility settings

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

Digital Health Reviews (1883) Clinical Informatics (1503) Artificial Intelligence (2469) Health Informatics Education and Training (99) Professional Identity Development (39) Health Professionals' Training in eHealth, Digital Medicine, Medical Informatics (218) Artificial Intelligence (AI) in Medical Education (254)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/66986, first published .
Nurse in blue scrubs typing on a computer in a medical office

Health Care Professionals’ Concerns About Medical AI and Psychological Barriers and Strategies for Successful Implementation: Scoping Review

Health Care Professionals’ Concerns About Medical AI and Psychological Barriers and Strategies for Successful Implementation: Scoping Review

Authors of this article:

Nora Arvai1 Author Orcid Image ;   Gellért Katonai1, 2 Author Orcid Image ;   Bertalan Mesko3 Author Orcid Image
Article Authors Cited by (28) Tweetations Metrics

Journals

  1. Aftab N. Artificial Intelligence in Obstetrics and Gynaecology: Advancing Precision and Personalised Care. Cureus 2025 View
  2. Livieratos A, Kagadis G, Gogos C, Akinosoglou K. AI Methods Tailored to Influenza, RSV, HIV, and SARS-CoV-2: A Focused Review. Pathogens 2025;14(8):748 View
  3. Johnson M. AI and the urgency for proactive regulation. AI and Ethics 2025;5(6):6265 View
  4. Takahashi G, von Liechti L, Tarshizi E. Quo Vadis, AI-Empowered Doctor?. JMIR Medical Education 2025;11:e70079 View
  5. da Costa R, Pereira M, Pereira A, Canas J, Correia R, Dimande C. Factors Influencing the Adoption of Artificial Intelligence in Healthcare: A Study on the Role of Knowledge and Benefits in Clinical and Managerial Decision-Making. Businesses 2025;5(4):44 View
  6. Çakan K, İpek İ. From lecture hall to clinic: dental students’ AI readiness and anxiety across educational stages. BMC Medical Education 2025;25(1) View
  7. Barberis M. Shortage of Pathologists: a candid narrative. Pathologica 2025;117(4):452 View
  8. Sani H, Mobaraki M, Sholibor A, Fallah S, Abdi F, Hasannezhad M, Jandaghian-Bidgoli M. Adoption of artificial intelligence in primary health care: systematic synthesis of stakeholder perspectives. BMC Primary Care 2026;27(1) View
  9. Abreu M, de Brito Duarte R, Neves B, Silva N, Santos R, Campos J. AI Assistance in Medical Decision-Making: The Role of Recommendations and Explanations in Simulated Clinical Cases. ACM Transactions on Computing for Healthcare 2026 View
  10. 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
  11. Zeng Q, Zhu J, Wang Y, Su S, Huang Y. Artificial intelligence self-efficacy and attitudes among nursing students: a multicenter network analysis of educational stratification. BMC Medical Education 2026;26(1) View
  12. Li Q, Liu H, Wang J. Value of Machine Learning Models for Cell-Free DNA-Based Multi-Cancer Early Detection: A Systematic Review and Meta-Analysis. Technology in Cancer Research & Treatment 2026;25 View
  13. Yuan C, Lee Y. How cultural cognition affects trust and perceived quality of AI explanations. Computers in Human Behavior Reports 2026;22:101021 View
  14. Arvai N, Meskó B, Katonai G. Generative AI's Impact on the Mental Health of Medical Students: Scenario Analysis. JMIR Medical Education 2026;12:e85373 View
  15. ALruwaili B, Alruwili A, Alruwaili A, Alruwaili H, Almutairi N, Alruwaili T, Alsirhani B, Thirunavukkarasu A, AL-Ruwaili H. Assessing Primary Care Physicians’ Readiness for AI-Based Adaptive Learning: Perceptions, Barriers, and Learning Needs in Northern Saudi Arabia. Healthcare 2026;14(7):865 View
  16. Brandtzaeg P, Skjuve M, Følstad A. AI aversion? Effects of author disclosure on young people’s perceptions of mental health advice. Cyberpsychology: Journal of Psychosocial Research on Cyberspace 2026;20(2) View
  17. Xu K, Wu Q, Wang M. Deconstructing Ambivalence Toward AI: Development and Validation of a Five-Dimension Scale (AAAIS). International Journal of Human–Computer Interaction 2026:1 View
  18. Mendlovic S, Frankova I, Vermetten E, Wasserman D, Schulze T, Falkai P, Fountoulakis K, Adorjan K, Uchida H, Fruchter E, Gobbi G, Zohar J. Responsible artificial intelligence integration framework for psychiatric guidelines. International Journal of Neuropsychopharmacology 2026;29(4) View
  19. May P, Brookman-May S, Garrahy E, von Büren J. Sequencing AI Automation and Data Interoperability in Oncology Using a Scenario-Planning Framework Coupled With Discrete-Event Simulation: Proof-of-Concept Study. Journal of Medical Internet Research 2026;28:e92642 View
  20. Ahmad A, Zafar K. Bridging black box and explainability: A complete post-hoc grey-box XAI framework. Applied Soft Computing 2026;200:115423 View
  21. Jørgensen N, Bruun N, Hoffmann Merrild C, Moeslund T, Kidholm K, Thomsen J. Identifying factors influencing acceptance of artificial intelligence among general practitioners in Danish general practice: a cross-sectional web-based survey study. Scandinavian Journal of Primary Health Care 2026;44(1) View
  22. Dantas C, Cabrita M, Bobowicz M, op den Akker H, Rafael-Palou X, Hakkarainen T, Haavisto I, Strand F, Marti-Bonmati L, Divjak E, Ivanac G, Joshi S, Osuala R, Charalambous S, Tsirikoglou A, Ribas G, Díaz O, Carvalho A, Costa E. Integrating Participatory Social Innovation into Requirements Engineering for AI Healthcare Solutions: a Case Study (Preprint). Journal of Medical Internet Research 2025 View
  23. van Zyl L. The unintended negative consequences of artificial intelligence use for psychologists. Frontiers in Psychology 2026;17 View
  24. Safi Y, Abualhaj S, Alshadfan L, Al-Kammash K, Al-Ramini N, Abuzaid L, Abo Naji S, Alzayadneh I, Al-Masri M. Artificial intelligence and ChatGPT literacy among surgical healthcare professionals: knowledge, attitudes, and perceived clinical utility. Frontiers in Digital Health 2026;8 View

Books/Policy Documents

  1. Judijanto L. Trends in Sustainable Computing and Machine Intelligence. View
  2. Somade O, Chaudhary N, Alate M. Physiotherapy Using Artificial Intelligence. View
  3. Kaya G, Seyyedabbasi A. AI-Powered Dermatology: Revolutionizing Skin Health Through Artificial Intelligence. View

Conference Proceedings

  1. Ehsan U, Passi S, Saha K, McNutt T, Riedl M, Alcorn S. Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems. From Future of Work to Future of Workers: Addressing Asymptomatic AI Harms to Foster Dignified Human-AI Interaction View