Tokyo Metropolitan University

A systematic review and meta-analysis of diagnostic performance comparison between generative AI and physicians

Hirotaka Takita, Daijiro Kabata, Shannon L. Walston et al.

2025 · 111 Zit.

Artificial intelligence-based model to classify cardiac functions from chest radiographs: a multi-institutional, retrospective model development and validation study

Daiju Ueda, Toshimasa Matsumoto, Shoichi Ehara et al.

2023 · 61 Zit.

ChatGPT’s diagnostic performance based on textual vs. visual information compared to radiologists’ diagnostic performance in musculoskeletal radiology

Daisuke Horiuchi, Hiroyuki Tatekawa, Tatsushi Oura et al.

2024 · 51 Zit.

Developing an artificial intelligence-based headache diagnostic model and its utility for non-specialists’ diagnostic accuracy

Masahito Katsuki, Tomokazu Shimazu, Shoji Kikui et al.

2023 · 40 Zit.

Diagnostic accuracy of vision-language models on Japanese diagnostic radiology, nuclear medicine, and interventional radiology specialty board examinations

Tatsushi Oura, Hiroyuki Tatekawa, Daisuke Horiuchi et al.

2024 · 37 Zit.

Chest radiography as a biomarker of ageing: artificial intelligence-based, multi-institutional model development and validation in Japan

Yasuhito Mitsuyama, Toshimasa Matsumoto, Hiroyuki Tatekawa et al.

2023 · 31 Zit.

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

Yuki Miyazaki, Masahiro Hata, Hisaki Omori et al.

2024 · 14 Zit.

Deep learning-driven multi-class classification of brain strokes using computed tomography: A step towards enhanced diagnostic precision

Chathura D. Kulathilake, Jeevani Udupihille, Sachith Abeysundara et al.

2025 · 12 Zit.

Evaluation of radiology residents’ reporting skills using large language models: an observational study

Natsuko Atsukawa, Hiroyuki Tatekawa, Tatsushi Oura et al.

2025 · 10 Zit.

“KAIZEN” method realizing implementation of deep-learning models for COVID-19 CT diagnosis in real world hospitals

Naoki Okada, Yutaka Umemura, Shoi Shi et al.

2024 · 7 Zit.

Recent topics in musculoskeletal imaging focused on clinical applications of AI: How should radiologists approach and use AI?

Taiki Nozaki, Masahiro Hashimoto, Daiju Ueda et al.

2025 · 4 Zit.

International Retrospective Observational Study of Continual Learning for AI on Endotracheal Tube Placement from Chest Radiographs

Emma Chen, Agustina Saenz, Oishi Banerjee et al.

2025 · 2 Zit.

Collaborating with AI in literature search—An important frontier

Masaru Enomoto, Cheng‐Hao Tseng, Yao‐Chun Hsu et al.

2023 · 2 Zit.

Reply to Letter to the Editor: “Comparative analysis of GPT-4 based ChatGPT’s diagnostic performance with radiologists using real-world radiology reports of brain tumors”

Yasuhito Mitsuyama, Hiroyuki Tatekawa, Hirotaka Takita et al.

2025 · 1 Zit.

AI for screening in healthcare: promise and challenges

Kenichi Saito, Shannon L. Walston, Hirotaka Takita et al.

2026 · 1 Zit.