8件 （「Artificial Intelligence」）

Developing artificial intelligence tools for institutional review board pre-review: A pilot study on ChatGPT’s accuracy and reproducibility プレプリント

Yasuko Fukataki・Hayashi Wakako・Nishimoto Naoki・Yoichi M. Ito ·2024-11-20 ·『medRxiv』

doi:10.1101/2024.11.19.24317555

Legal Prompting: Teaching a Language Model to Think Like a Lawyer プレプリント

Fangyi Yu・Lee Quartey・Frank Schilder ·2022-12-02 ·『arXiv (Cornell University)』

doi:10.48550/arxiv.2212.01326

Capability of GPT-4V(ision) in Japanese National Medical Licensing Examination プレプリント

Takahiro Nakao・Soichiro Miki・Yuta Nakamura・Tomohiro Kikuchi・Yukihiro Nomura・Shouhei Hanaoka・T. Yoshikawa・Osamu Abe ·2023-11-08 ·『medRxiv』

doi:10.1101/2023.11.07.23298133

Quality Assessment of Large Language Model–Generated Medical Dialogue for Clinical Vignettes: Evaluation Study (Preprint) プレプリント

Yasutaka Yanagita・Daiki Yokokawa・Shiichi Ihara・R. Yoshida・Yasuhisa Okano・Takanori Uehara ·2025-07-16

doi:10.2196/preprints.80752

The potential of waiting one second before answering a question for boosting medical image binary labelling performance プレプリント

Rina Kagawa・Masaru Shirasuna・Atsushi Ikeda・Masaru Sanuki・Hidehito Honda・Hirokazu Nosato ·2022-03-16

doi:10.31234/osf.io/ctqgd

Evaluating GPT-4 and ChatGPT on Japanese Medical Licensing Examinations プレプリント

Jungo Kasai・Yuhei Kasai・Keisuke Sakaguchi・Yutaro Yamada・Dragomir Radev ·2023-03-31 ·『arXiv (Cornell University)』

doi:10.48550/arxiv.2303.18027

Capability of GPT-4V(ision) in the Japanese National Medical Licensing Examination: Evaluation Study (Preprint) プレプリント

Takahiro Nakao・Soichiro Miki・Yuta Nakamura・Tomohiro Kikuchi・Yukihiro Nomura・Shouhei Hanaoka・T. Yoshikawa・Osamu Abe ·2023-11-08

doi:10.2196/preprints.54393

Performance and Errors of ChatGPT-4o on the Japanese Medical Licensing Examination: Solving All Questions Including Images with Over 90% Accuracy (Preprint) プレプリント

Yuki Miyazaki・Masahiro Hata・Hisaki Omori・Atsuya Hirashima・Yuta Nakagawa・Mitsuhiro Eto・Shun Takahashi・Manabu Ikeda ·2024-06-13

doi:10.2196/preprints.63129