19件 （「Artificial Intelligence in Healthcare and Education」）

Analysis of Responses of GPT-4 V to the Japanese National Clinical Engineer Licensing Examination 論文

Kai Ishida・Naoya Arisaka・Kiyotaka Fujii ·2024-09-11 ·『Journal of Medical Systems』　48(1)　pp. 83-83

doi:10.1007/s10916-024-02103-w

Performance of ChatGPT-4o on the Japanese Medical Licensing Examination: Evalution of Accuracy in Text-Only and Image-Based Questions 論文

Yuki Miyazaki・Masahiro Hata・Hisaki Omori・Atsuya Hirashima・Yuta Nakagawa・Mitsuhiro Eto・Shun Takahashi・Manabu Ikeda ·2024-11-23 ·『JMIR Medical Education』　10　pp. e63129-e63129

doi:10.2196/63129

Evaluating ChatGPT’s Ability to Generate Japanese 論文

Sora Tarumoto・Koki Hatagaki・Rina Miyata・Tomoyuki Kajiwara・Takashi Ninomiya ·2024-01-01 ·『Journal of Natural Language Processing』　31(2)　pp. 349-373

doi:10.5715/jnlp.31.349

GPT-4/4V's performance on the Japanese National Medical Licensing Examination 論文

Tomoki Kawahara・Yuki Sumi ·2024-04-22 ·『Medical Teacher』　47(3)　pp. 450-457

doi:10.1080/0142159x.2024.2342545

Evaluating Chat GPT-4o’s Comparative Performance over GPT-4 in Japanese Medical Licensing Examination and Its Clinical Partnership Potential 論文

Masatoshi Miyamura・Goro Fujiki・Yumiko Kanzaki・Kosuke Tsuda・Hironaka Asano・Hideaki Morita・Masaaki Hoshiga ·2026-01-07 ·『International Medical Education』　5(1)　pp. 9-9

doi:10.3390/ime5010009

Evaluation of the Accuracy of ChatGPT in Answering Clinical Questions on the Japanese Society of Hypertension Guidelines 論文

Kenya Kusunose・Shuichiro Kashima・Masataka Sata ·2023-06-06 ·『Circulation Journal』　87(7)　pp. 1030-1033

doi:10.1253/circj.cj-23-0308

Potential of ChatGPT to Pass the Japanese Medical and Healthcare Professional National Licenses: A Literature Review 論文

Kai Ishida・Eisuke Hanada ·2024-08-06 ·『Cureus』　16(8)　pp. e66324-e66324

doi:10.7759/cureus.66324

Developing artificial intelligence tools for institutional review board pre-review: A pilot study on ChatGPT’s accuracy and reproducibility 論文

Yasuko Fukataki・Wakako Hayashi・Naoki Nishimoto・Yoichi M. Ito ·2025-06-30 ·『PLOS Digital Health』　4(6)　pp. e0000695-e0000695

doi:10.1371/journal.pdig.0000695

ChatGPT (GPT-4) passed the Japanese National License Examination for Pharmacists in 2022, answering all items including those with diagrams: a descriptive study 論文

Hiroyasu Sato・Katsuhiko Ogasawara ·2024-02-28 ·『Journal of Educational Evaluation for Health Professions』　21　pp. 4-4

doi:10.3352/jeehp.2024.21.4

An exploratory assessment of GPT-4o and GPT-4 performance on the Japanese National Dental Examination 論文

Masaki Morishita・Hikaru Fukuda・Shino Yamaguchi・Kosuke Muraoka・Taiji Nakamura・Masanari Hayashi・Izumi Yoshioka・Kentaro Ono・Shuji Awano ·2024-11-26 ·『The Saudi Dental Journal』　36(12)　pp. 1577-1581

doi:10.1016/j.sdentj.2024.11.006

Capability of GPT-4V(ision) in the Japanese National Medical Licensing Examination: Evaluation Study 論文

Takahiro Nakao・Soichiro Miki・Yuta Nakamura・Tomohiro Kikuchi・Yukihiro Nomura・Shouhei Hanaoka・T. Yoshikawa・Osamu Abe ·2024-03-12 ·『JMIR Medical Education』　10　pp. e54393-e54393

doi:10.2196/54393

Can AI-Generated Clinical Vignettes in Japanese Be Used Medically and Linguistically? 論文

Yasutaka Yanagita・Daiki Yokokawa・Shun Uchida・Yu Li・Takanori Uehara・Masatomi Ikusaka ·2024-03-02 ·『Journal of General Internal Medicine』　39(16)　pp. 3282-3289

doi:10.1007/s11606-024-09031-y

Performance Evaluation of 18 Generative AI Models (ChatGPT, Gemini, Claude, and Perplexity) in 2024 Japanese Pharmacist Licensing Examination: Comparative Study 論文

Hiroyasu Sato・Katsuhiko Ogasawara・Hidehiko Sakurai ·2025-07-31 ·『JMIR Medical Education』　11　pp. e76925-e76925

doi:10.2196/76925

Quality Assessment of Large Language Model–Generated Medical Dialogue for Clinical Vignettes: Evaluation Study 論文

Yasutaka Yanagita・Daiki Yokokawa・Shiichi Ihara・R. Yoshida・Yasuhisa Okano・Takanori Uehara ·2025-10-15 ·『JMIR Formative Research』　9　pp. e80752-e80752

doi:10.2196/80752

Assessing the Performance of GPT-3.5 and GPT-4 on the 2023 Japanese Nursing Examination 論文

Yudai Kaneda・Ryo Takahashi・Uiri Kaneda・Shiori Akashima・Haruna Okita・Sadaya Misaki・Akimi Yamashiro・Akihiko Ozaki・Tetsuya Tanimoto ·2023-08-03 ·『Cureus』　15(8)　pp. e42924-e42924

doi:10.7759/cureus.42924

GPT-4 Turbo with Vision fails to outperform text-only GPT-4 Turbo in the Japan Diagnostic Radiology Board Examination 論文

Yuichiro Hirano・Shouhei Hanaoka・Takahiro Nakao・Soichiro Miki・Tomohiro Kikuchi・Yuta Nakamura・Yukihiro Nomura・T. Yoshikawa・Osamu Abe ·2024-05-11 ·『Japanese Journal of Radiology』　42(8)　pp. 918-926

doi:10.1007/s11604-024-01561-z

Evaluating Large Language Models in Dental Anesthesiology: A Comparative Analysis of ChatGPT-4, Claude 3 Opus, and Gemini 1.0 on the Japanese Dental Society of Anesthesiology Board Certification Exam 論文

Misaki Fujimoto・Hidetaka Kuroda・Tomomi Katayama・Atsuki Yamaguchi・Norika Katagiri・Keita Kagawa・Shota Tsukimoto・Akito Nakano・Uno Imaizumi・Aiji Sato-Boku・Naotaka Kishimoto・Tomoki Itamiya・Kanta Kido・Takuro Sanuki ·2024-09-27 ·『Cureus』　16(9)　pp. e70302-e70302

doi:10.7759/cureus.70302

Accuracy of ChatGPT on Medical Questions in the National Medical Licensing Examination in Japan: Evaluation Study 論文

Yasutaka Yanagita・Daiki Yokokawa・Shun Uchida・Junsuke Tawara・Masatomi Ikusaka ·2023-10-03 ·『JMIR Formative Research』　7　pp. e48023-e48023

doi:10.2196/48023

Evaluating and Enhancing Japanese Large Language Models for Genetic Counseling Support: Comparative Study of Domain Adaptation and the Development of an Expert-Evaluated Dataset 論文

Takuya Fukushima・Masae Manabe・Shuntaro Yada・Shoko Wakamiya・Akiko Yoshida・Yusaku Urakawa・A. Maeda・Shigeyuki Kan・Masayo Takahashi・Eiji Aramaki ·2024-12-25 ·『JMIR Medical Informatics』　13　pp. e65047-e65047

doi:10.2196/65047