Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/55766, first published .
Health Care Professionals’ Experience of Using AI: Systematic Review With Narrative Synthesis

Health Care Professionals’ Experience of Using AI: Systematic Review With Narrative Synthesis

Health Care Professionals’ Experience of Using AI: Systematic Review With Narrative Synthesis

Journals

  1. Scipion C, Manchester M, Federman A, Wang Y, Arias J. Barriers to and facilitators of clinician acceptance and use of artificial intelligence in healthcare settings: a scoping review. BMJ Open 2025;15(4):e092624 View
  2. Chew B, Ngiam K. Artificial intelligence tool development: what clinicians need to know?. BMC Medicine 2025;23(1) View
  3. Hussain S, Bresnahan M, Zhuang J. Can artificial intelligence revolutionize healthcare in the Global South? A scoping review of opportunities and challenges. DIGITAL HEALTH 2025;11 View
  4. Morley J, Hine E, Roberts H, Sirbu R, Ashrafian H, Blease C, Boyd M, Chen J, Filho A, Coiera E, Cohen G, Fiske A, Jayakumar N, Kerasidou A, Mandreoli F, McCradden M, Namuganza S, Nsoesie E, Parikh R, Reddy S, Sedlakova J, Sunbul T, van Baalen S, van Kolfschooten H, Floridi L. Global Health in the Age of AI: Charting a Course for Ethical Implementation and Societal Benefit. Minds and Machines 2025;35(3) View
  5. Chatzikou M, Latsou D, Apostolidis G, Billis A, Charisis V, Rigas E, Bamidis P, Hadjileontiadis L. Economic Evaluation of Artificially Intelligent (AI) Diagnostic Systems: Cost Consequence Analysis of Clinician-Friendly Interpretable Computer-Aided Diagnosis (ICADX) Tested in Cardiology, Obstetrics, and Gastroenterology, from the HosmartAI Horizon 2020 Project. Healthcare 2025;13(14):1661 View
  6. Osonuga A, Osonuga A, Fidelis S, Osonuga G, Juckes J, Olawade D. Bridging the digital divide: artificial intelligence as a catalyst for health equity in primary care settings. International Journal of Medical Informatics 2025;204:106051 View
  7. Garcia Sanchez C, Kharko A, Hägglund M, Riggare S, Blease C. Health Care Professionals’ Experiences and Opinions About Generative AI and Ambient Scribes in Clinical Documentation: Protocol for a Scoping Review. JMIR Research Protocols 2025;14:e73602 View
  8. Agur Cohen D, Heymann A, Levkovich I. Partners in Practice: Primary Care Physicians Define the Role of Artificial Intelligence. Healthcare 2025;13(16):1972 View
  9. Herbert E, Fournier D. AI in the healthcare system: Current viewpoint developments. HEALTH SCIENCES QUARTERLY 2025;5(4):599 View
  10. Schaffernak I, Cecil J, Kleine A, Lermer E. Sociotechnical influences on the adoption and use of AI-enabled clinical decision support systems in ophthalmology: a theory-based interview study. BMC Health Services Research 2025;25(1) View
  11. Oleribe O, Taylor-Robinson A, Chimezie C, Taylor-Robinson S. ETHICS of AI Adoption and Deployment in Health Care: Progress, Challenges, and Next Steps. JMIR AI 2025;4:e67626 View
  12. Salimparsa M, Sedig K, Lizotte D, Abdullah S, Chalabianloo N, Muanda F. Explainable AI for Clinical Decision Support Systems: Literature Review, Key Gaps, and Research Synthesis. Informatics 2025;12(4):119 View
  13. Mahajan U, Parpia S, Gupta R, Spurrier E, Akhtar M, Gupta V. Perceptions of Artificial Intelligence in Medical Documentation: A Cross-Sectional Study of Healthcare Professionals. Cureus 2025 View
  14. Tung T, Hasnaeen S, Zhao X. Ethical and practical challenges of generative AI in healthcare and proposed solutions: a survey. Frontiers in Digital Health 2025;7 View
  15. Pedrami M, Gholipour A. Determinants of Effective Human-AI Teaming in Work Contexts: A Meta-Synthesis. International Journal of Human–Computer Interaction 2025:1 View

Books/Policy Documents

  1. Patne A, Suryawanshi M, Vinchurkar K. Artificial Intelligence in Patient Counselling. View

Conference Proceedings

  1. Yousefi K, Rahnama M, Barangi H. 2025 9th International Conference on Internet of Things and Applications (IoT). Exploring AI Literacy and Public Attitudes in Smart Healthcare: Findings from a Descriptive Cross-Sectional Study View