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

Digital Health Reviews (1758) Theme Issue: The Role of Trustworthy Artificial Intelligence in Healthcare (13) Decision Support for Health Professionals (1568) Quality/Credibility of eHealth Information and Trust Issues (660) Artificial Intelligence (2197) Reviews in AI (27) Ethical, Legal, and Social Issues in AI (109)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/69678, first published .
Trust in Artificial Intelligence–Based Clinical Decision Support Systems Among Health Care Workers: Systematic Review

Trust in Artificial Intelligence–Based Clinical Decision Support Systems Among Health Care Workers: Systematic Review

Trust in Artificial Intelligence–Based Clinical Decision Support Systems Among Health Care Workers: Systematic Review

Authors of this article:

Hein Minn Tun1, 2 Author Orcid Image ;   Hanif Abdul Rahman1, 2 Author Orcid Image ;   Lin Naing1 Author Orcid Image ;   Owais Ahmed Malik2 Author Orcid Image
Article Authors Cited by (17) Tweetations (1) Metrics

Journals

  1. Awad N, Aljohani W, Yaseen M, Awad W, Abou Elala R, Ashour H. When Machines Decide: Exploring How Trust in AI Shapes the Relationship Between Clinical Decision Support Systems and Nurses' Decision Regret: A Cross‐Sectional Study. Nursing in Critical Care 2025;30(5) View
  2. Wong K, Han Y, Cai Y, Ouyang W, Du H, Liu C. From Trust in Automation to Trust in AI in Healthcare: A 30-Year Longitudinal Review and an Interdisciplinary Framework. Bioengineering 2025;12(10):1070 View
  3. Başaranoğlu M, Akbay E, Erdem E. From digital assistants to clinical partners: revolutionizing pediatric urology through large language model-powered decision support and patient education. World Journal of Urology 2025;43(1) View
  4. Nandagopal S. Transforming the self: Individual-level changes arising from collaboration with generative AI. Computers in Human Behavior: Artificial Humans 2025;6:100232 View
  5. Haddad R, Bortolini M. Data-Driven Medicine and Artificial Intelligence in Healthcare: Real-World Evidence, Opportunities, and Safeguards. International Urogynecology Journal 2025;36(11):2117 View
  6. Shen S, Zhou K, Wu M, Liu D, Shen X, Li P, Xu Y, Zheng S, Gou X. Feeding intelligence: comparative evaluation of ChatGPT and clinical guidelines for nutritional management in head and neck cancer. Journal of Translational Medicine 2025;23(1) View
  7. Sides T, Kbaier D, Farrell T, Third A. Bridging trust gaps: Stakeholder perspectives on AI adoption in the United Kingdom NHS primary care. DIGITAL HEALTH 2025;11 View
  8. Mohammed T, Albahri A, Alnoor A, Khaw K, Chew X, Lim S. Intelligent Patient Management in Viral Diseases: An Integrated Regression Model and Multi-Criteria Decision-Making Approach to Convalescent Plasma Transfusion. Healthcare 2025;13(24):3199 View
  9. Dundas N, Law T, Brender T, Mills H, Espejo E, A. Heintz T, Wallace A, Cobert J. All That Shines Is Not Gold: Maintaining Scientific Rigor When Evaluating, Interpreting, and Reviewing Studies Using Large Language Models. Anesthesiology 2025 View
  10. Yas H, Aldabbagh Z, Khalifa A, Faghiri A, Bawazir A, Shwedeh F. Role of artificial intelligence in the promotion of customer experiences: A legal administrative study and systematic review in the United Arab Emirates. Research Journal in Advanced Humanities 2025;6(4) View
  11. Crema C, Boccali A, Martinelli A, De Francesco S, Meloni S, Baronio C, Gasparotti R, Pedrini L, Lanfredi M, Pievani M, Carcione A, Nicolò G, Semerari A, Archetti D, Redolfi A, Rossi R. An explainable multimodal artificial intelligence model for classifying suicide attempters with borderline personality disorder: a pilot study. Scientific Reports 2025 View
  12. Kasimieh O, Ahmed M, Othman Z, Ali I, Hassan M, Maulion P, Babalola A, Okesanya O, Ukoaka B, Branda F, Lucero-Prisno III D. Deep learning in real-time image-guided surgery: a systematic review of applications, methodologies, and clinical relevance. Artificial Intelligence Surgery 2025;5(4):557 View
  13. Chi J, Zhong C, Tang J, Guo B, Zhang Y, Deng S, Guo Z, Wu Y. Clinical Decision Support Systems for cancer symptom management: A scoping review. International Journal of Nursing Studies 2026;175:105317 View
  14. Narayanan M, Prabhu N, Rajinikanth V. Review on artificial intelligence supported breast cancer diagnosis for effective treatment planning. Discover Applied Sciences 2025 View
  15. Pandian V, Rahimibashar F, Arabfard M, Alhalaiqa F, Vahedian-Azimi A. The role of AI-driven communication in delirium prevention, detection, and care for critically ill ICU patients: A systematic review with inductive thematic synthesis. Intensive and Critical Care Nursing 2026;93:104323 View
  16. Koumpouros Y, Kavoura A. Telehealth as a catalyst for smart rural development and sustainable tourism: a feasibility case study from Agrafa, Greece. Frontiers in Digital Health 2026;7 View
  17. Sengupta D, Panda S. Disagreement between human and AI evaluation of treatment plans. Scientific Reports 2026 View