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

Formative Evaluation of Digital Health Interventions (3499) Quality/Credibility of eHealth Information and Trust Issues (680) Artificial Intelligence (2396) Computer-Aided Diagnosis (281) Applications of AI (358)

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

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
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