Published on in Vol 8 (2024)
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/58666, first published
.
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
Journals
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- 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
- Pepito J, Babate F, Ismael J, Al-Jumayile S, Siddique M. Redesigning Nursing Curricula for Human–AI Collaboration Using a Fifth Industrial Revolution Framework: Discursive Paper. Sage Open Nursing 2026;12 View
- Pratap A, Huang Y, Chiang C, Liu W, Lin W, Hsu H, Hsiung P. Deep Learning Technology in Genomics, Radiotherapy, and Ophthalmology for Precision Medicine. Journal of Physiological Investigation 2026;69(2):127 View
- Bair H, Djulbegovic M, Taylor Gonzalez D. The clinician as gatekeeper in the age of “deep research”. DIGITAL HEALTH 2026;12 View
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- 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