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

Synopsis

Quasi-experimental study with physicians at Dokkyo Medical University, Japan, on 20 clinical cases generated by an AI-driven automated medical history-taking system; trust calibration did not significantly improve diagnostic accuracy in the differential-diagnosis task.

Keywords

·trust calibration ·AI medical history ·diagnostic accuracy ·quasi-experiment ·Japan

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