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 to those of physicians: an experimental study for diagnostic cases (Preprint). 2024
Tetsu Sakamoto, Yukinori Harada, Taro Shimizu. Does facilitating trust calibration for artificial-intelligence-driven differential diagnoses list improve physicians' diagnostic accuracy?: A quasi-experimental study (Preprint). 2024
Takanobu Hirosawa, Tetsu Sakamoto, Yukinori Harada, Kazuki Tokumasu, Taro Shimizu. Clinical decision support system using a machine learning model to assist simultaneous cardiopulmonary auscultation: Open-label randomized controlled trial. DIGITAL HEALTH. 2024. 10
Yukinori Harada, Takashi Watari, Hiroyuki Nagano, Tomoharu Suzuki, Kotaro Kunitomo, Taiju Miyagami, Tetsuro Aita, Kosuke Ishizuka, Mika Maebashi, Taku Harada, et al. Diagnostic errors in uncommon conditions: a systematic review of case reports of diagnostic errors. Diagnosis (Berlin, Germany). 2023
Yukinori Harada, Shusaku Tomiyama, Tetsu Sakamoto, Shu Sugimoto, Ren Kawamura, Masashi Yokose, Arisa Hayashi, Taro Shimizu. Effects of Combinational Use of Additional Differential Diagnostic Generators on the Diagnostic Accuracy of the Differential Diagnosis List Developed by an Artificial Intelligence-Driven Automated History-Taking System: Pilot Cross-Sectional Study. JMIR formative research. 2023. 7. e49034
