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

Journal: JMIR formative research

PMID: 39602469

Abstract

BACKGROUND: Diagnostic 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.

Authors

Tetsu Sakamoto

Department of Diagnostic and Generalist Medicine, Dokkyo Medical University, Tochigi 321-0293, Japan.
Yukinori Harada

Department of General Internal Medicine, Nagano Chuo Hospital, Nagano 380-0814, Japan.
Taro Shimizu

Department of Diagnostic and Generalist Medicine Dokkyo Medical University Tochigi Japan.

Keywords

Adult Artificial Intelligence Calibration Decision Support Systems, Clinical Diagnostic Errors Female Humans Japan Male Middle Aged Physicians Reproducibility of Results Trust

External Resources

View on PubMed Access via DOI PubMed (39602469)

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

Abstract

Authors

Keywords

External Resources

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