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

Abstract BackgroundDiagnostic errors are significant problems in medical care. Despite the usefulness of artificial intelligence (AI)–based diagnostic decision support systems, the overreliance of physicians on AI-generated diagnoses may lead to diagnostic errors....

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Bibliographic Details
Main Authors: Tetsu Sakamoto, Yukinori Harada, Taro Shimizu
Format: Article
Language:English
Published: JMIR Publications 2024-11-01
Series:JMIR Formative Research
Online Access:https://formative.jmir.org/2024/1/e58666
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