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
- 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
- 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
Conference Proceedings
- 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