Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/66986, first published .
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

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

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 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 View

Books/Policy Documents

  1. Judijanto L. Trends in Sustainable Computing and Machine Intelligence. View