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

Formative Evaluation of Digital Health Interventions (5388) Quality/Credibility of eHealth Information and Trust Issues (965) Artificial Intelligence (5033) Computer-Aided Diagnosis (445) Applications of AI (1098)

Published on in Vol 8 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/58666, first published .
Doctor working on laptop in medical office

Facilitating Trust Calibration in Artificial Intelligence–Driven Diagnostic Decision Support Systems for Determining Physicians’ Diagnostic Accuracy: Quasi-Experimental Study

Facilitating Trust Calibration in Artificial Intelligence–Driven Diagnostic Decision Support Systems for Determining Physicians’ Diagnostic Accuracy: Quasi-Experimental Study

Authors of this article:

Tetsu Sakamoto1 Author Orcid Image ;   Yukinori Harada1 Author Orcid Image ;   Taro Shimizu1 Author Orcid Image
Article Authors Cited by (24) Tweetations Metrics

Journals

  1. Pan X, Wang C, Luo X, Dong Q, Sun H, Zhang W, Qu H, Deng R, Lin Z. Development and verification of a convolutional neural network-based model for automatic mandibular canal localization on multicenter CBCT images. BMC Oral Health 2025;25(1) View
  2. Chaudhry Z, Choudhury A. US Occupational Medicine Clinicians’ Perceptions and Practices With Respect to Artificial Intelligence Large Language Models. Journal of Occupational & Environmental Medicine 2026;68(3):189 View
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  6. Babker A. Clinical Safety and Legal Accountability of Artificial Intelligence in Hematology Diagnostic Laboratories: Risks, Failure Modes, Medicolegal Challenges, and Budgeting for Implementation. Journal of Applied Hematology 2026;17(2):85 View
  7. Pan H, Liu J, Liu S. Enhancing Physician Resilience to Generative AI: Multilevel Framework for Shared Authority, Verification, and Skill Preservation. Journal of Medical Internet Research 2026;28:e88058 View
  8. Velasco L, Wang W. Trust typology of medical doctors in artificial intelligence. Procedia Computer Science 2026;284:113 View
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  10. Castano-Villegas N, Llano I, Villa M, Zea J, Velasquez L. Clinical Med students’ validation of Arkangel AI: Are their responses any better when supported by the AI?. Intelligence-Based Medicine 2026;15:100447 View
  11. Baek J, Oh R, Park D, Bae K. Evaluating Artificial Intelligence as a First-Pass Reader in Fundus Photograph Screening: A Multireader Workflow Validation Study. Diagnostics 2026;16(17):2707 View
  12. Park D, Oh R, Baek J, Bae K, Thirunavukarasu A. Evaluating an AI-assisted triage workflow for retinal diseases. PLOS Digital Health 2026;5(9):e0001700 View
  13. Ohmoto Y, Terada K, Iwanaga R, Kumazaki H. Factors Associated With Professionals’ Context-Specific Trust in AI-Based Screening for Autism Spectrum Disorder: Cross-Sectional Survey Study. JMIR Formative Research 2026;10:e98367 View
  14. Shen S, Cui X, Yuan Z, Li L, Shen X, Wang Y, He G, Zheng X, Gou X. Preferences for AI Health Consultation Across Symptom-Severity Scenarios: Cross-Sectional Online Survey in China (Preprint). Journal of Medical Internet Research 2026 View
  15. Choudhury A, Shahsavar Y, Gurses A. Clinicians’ Trust in AI-Based Clinical Recommendations Across Controlled Primary Care–Style Clinical Vignettes: Nurse-Dominant Experimental Pilot Study. JMIR Human Factors 2026;13:e97649 View
  16. Baser O. Faster but Not Truer, Part 2: The Regulatory Record, the Economics, and the TRACE-HEOR Reporting Standard. Journal of Health Economics and Outcomes Research 2026:161 View
  17. Baser O. Faster but Not Truer, Part 2: The Regulatory Record, the Economics, and the TRACE-HEOR Reporting Standard. Journal of Health Economics and Outcomes Research 2026;13(2) View

Books/Policy Documents

  1. Alrefaie K, Madlol B, Atallah O. Medical Education in the Age of Digital Transformation. View
  2. Anderle L, Abidi A, Ünlü S, Steidle O, Janßen T, Petzold T. Chatbots and Human-Centered AI. View
  3. Roos G. Leadership, Talent, and Human–AI Collaboration. View
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Conference Proceedings

  1. Correia A, Fonseca B, Schneider D, Chaves R, Kärkkäinen T. 2025 9th International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT). Uncertainties and Emerging Uses of Human-Ai Medical Diagnosis in Collaborative Clinical Practice View
  2. Dudeja P, Mishra D, Mathur R, Gupta S, Kumar D, Hemanth J. 2026 International Conference on Intelligent Engineering and Next-Gen Healthcare Systems (IEHNS). Calibrated and Uncertainty-Aware Heart Disease Prediction Using Ensemble Learning View