Takanobu Hirosawa, Yukinori Harada, Kazuya Mizuta, Tetsu Sakamoto, Kazuki Tokumasu, Taro Shimizu. Evaluating ChatGPT-4’s Accuracy in Identifying Final Diagnoses Within Differential Diagnoses Compared With Those of Physicians: Experimental Study for Diagnostic Cases. JMIR Formative Research. 2024. 8. e59267-e59267
Yukinori Harada, Tomoharu Suzuki, Taku Harada, Tetsu Sakamoto, Kosuke Ishizuka, Taiju Miyagami, Ren Kawamura, Kotaro Kunitomo, Hiroyuki Nagano, Taro Shimizu, et al. Performance evaluation of ChatGPT in detecting diagnostic errors and their contributing factors: an analysis of 545 case reports of diagnostic errors. BMJ open quality. 2024. 13. 2
Yukinori Harada, Tetsu Sakamoto, Shu Sugimoto, Taro Shimizu. Longitudinal Changes in Diagnostic Accuracy of a Differential Diagnosis List Developed by an AI-Based Symptom Checker: Retrospective Observational Study. JMIR formative research. 2024. 8. e53985
Takanobu Hirosawa, Yukinori Harada, Kazuki Tokumasu, Takahiro Ito, Tomoharu Suzuki, Taro Shimizu. Evaluating ChatGPT-4's Diagnostic Accuracy: Impact of Visual Data Integration. JMIR Medical Informatics. 2024. 12. e55627
Yukinori Harada, Ren Kawamura, Masashi Yokose, Taro Shimizu, Hardeep Singh. Definitions and Measurements for Atypical Presentations at Risk for Diagnostic Errors in Internal Medicine: Protocol for a Scoping Review. JMIR research protocols. 2024. 13. e56933
Does facilitating trust calibration for artificial-intelligence-driven differential diagnosis list improve physicians' diagnostic accuracy?: a quasi-experimental study
(ACP(米国内科学会)日本支部年次総会・講演会2024 2024)