Osaka University Hospital

Large language models and their impact in ophthalmology

Bjorn Kaijun Betzler, Haichao Chen, Ching‐Yu Cheng et al.

2023 · 141 Zit.

Regulatory-approved deep learning/machine learning-based medical devices in Japan as of 2020: A systematic review

Nao Aisu, Masahiro Miyake, Kohei Takeshita et al.

2022 · 32 Zit.

Use of artificial intelligence to identify data elements for The Japanese Orthopaedic Association National Registry from operative records

Kosuke Kita, Keisuke Uemura, Masaki Takao et al.

2022 · 16 Zit.

Development of retake support system for lateral knee radiographs by using deep convolutional neural network

Yukino Ohta, Hiroaki Matsuzawa, Katsumi Yamamoto et al.

2021 · 11 Zit.

Cost-effectiveness of AI-based diabetic retinopathy screening in nationwide health checkups and diabetes management in Japan: A modeling study

Yoko Akune, Ryo Kawasaki, Rei Goto et al.

2025 · 7 Zit.

Position Statements of the Emerging Trends Committee of the Asian Oceanian Society of Radiology on the Adoption and Implementation of Artificial Intelligence for Radiology

Nicole Kessa Wee, Kim-Ann Git, Wen‐Jeng Lee et al.

2024 · 7 Zit.

Regulatory-approved Deep Learning/Machine Learning-Based Medical Devices in Japan as of 2020: A Systematic Review

Nao Aisu, Masahiro Miyake, Kohei Takeshita et al.

2021 · 2 Zit.

Response to “The Value of Non-Clinical Applications of Artificial Intelligence in Radiology Should Be Noted”

Nicole Kessa Wee, Kim-Ann Git, Wen‐Jeng Lee et al.

2024 · 0 Zit.

Evaluating ChatGPT’s responses to vaccine-related questions: the impact of question framing on content and quality

Yoshiki Kusama, Satoshi Kutsuna

2025 · 0 Zit.

AI hospital project at Osaka University Hospital

Ryo Kawasaki, Toshihiro Takeda, Kohji Nishida et al.

2023 · 0 Zit.