Osaka Metropolitan University

Fairness of artificial intelligence in healthcare: review and recommendations

Daiju Ueda, Taichi Kakinuma, Shohei Fujita et al.

2023 · 488 Zit.

Accuracy of ChatGPT generated diagnosis from patient's medical history and imaging findings in neuroradiology cases

Daisuke Horiuchi, Hiroyuki Tatekawa, Taro Shimono et al.

2023 · 115 Zit.

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 · 108 Zit.

The impact of large language models on radiology: a guide for radiologists on the latest innovations in AI

Takeshi Nakaura, Rintaro Ito, Daiju Ueda et al.

2024 · 96 Zit.

Climate change and artificial intelligence in healthcare: Review and recommendations towards a sustainable future

Daiju Ueda, Shannon L. Walston, Shohei Fujita et al.

2024 · 85 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.

Comparing the Diagnostic Performance of GPT-4-based ChatGPT, GPT-4V-based ChatGPT, and Radiologists in Challenging Neuroradiology Cases

Daisuke Horiuchi, Hiroyuki Tatekawa, Tatsushi Oura et al.

2024 · 60 Zit.

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.

2024 · 56 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 · 50 Zit.

Deep learning for pneumothorax diagnosis: a systematic review and meta-analysis

Takahiro Sugibayashi, Shannon L. Walston, Toshimasa Matsumoto et al.

2023 · 40 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 · 39 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.

Evaluating GPT-4-based ChatGPT's clinical potential on the NEJM quiz

Daiju Ueda, Shannon L. Walston, Toshimasa Matsumoto et al.

2024 · 30 Zit.

Diagnostic Performance Comparison between Generative AI and Physicians: A Systematic Review and Meta-Analysis

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

2024 · 25 Zit.