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

Formative Evaluation of Digital Health Interventions (2496) Applications of AI (104) Computer-Aided Diagnosis (136) Artificial Intelligence (1430) Quality/Credibility of eHealth Information and Trust Issues (544)

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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Tetsu Sakamoto   1 * , MD ;   Yukinori Harada   1 * , MD, PhD ;   Taro Shimizu   1 * , MSc, MPH, MD, PhD, MBA, FACP

1 Department of Diagnostic and Generalist Medicine, Dokkyo Medical University, Tochigi, Japan

*all authors contributed equally

Corresponding Author:

  • Tetsu Sakamoto, MD
  • Department of Diagnostic and Generalist Medicine
  • Dokkyo Medical University
  • 880 Kitakobayashi, Mibu-cho, Shimotsuga-gun
  • Tochigi, 321-0293
  • Japan
  • Phone: 81 282-86-1111
  • Fax: 81 282-86-4775
  • Email: stetsu@dokkyomed.ac.jp