Kyoto University

Fairness of artificial intelligence in healthcare: review and recommendations

Daiju Ueda, Taichi Kakinuma, Shohei Fujita et al.

2023 · 488 Zit.

Artificial intelligence for diagnosis and Gleason grading of prostate cancer: the PANDA challenge

Wouter Bulten, Kimmo Kartasalo, Po-Hsuan Cameron Chen et al.

2022 · 464 Zit.

Human-centered artificial intelligence in education: Seeing the invisible through the visible

Stephen J.H. Yang, Hiroaki Ogata, Tatsunori Matsui et al.

2021 · 349 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 · 104 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.

The future regulation of artificial intelligence systems in healthcare services and medical research in the European Union

János Mészáros, Jusaku Minari, Isabelle Huys

2022 · 90 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.

Performance of the Large Language Model ChatGPT on the National Nurse Examinations in Japan: Evaluation Study

Kazuya Taira, Takahiro Itaya, Ayame Hanada

2023 · 78 Zit.

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence (IJCAI-16)

Junning Gao, Makoto Yamada, Samuel Kaski et al.

2016 · 71 Zit.

Explainable artificial intelligence in emergency medicine: an overview

Yohei Okada, Yilin Ning, Marcus Eng Hock Ong

2023 · 48 Zit.

An Open Science Approach to Artificial Intelligence in Healthcare

Chris Paton, Shinji Kobayashi

2019 · 47 Zit.

Multinational Attitudes Toward AI in Health Care and Diagnostics Among Hospital Patients

Felix Busch, Lena Hoffmann, Lina Xu et al.

2025 · 43 Zit.

AI and machine learning in resuscitation: Ongoing research, new concepts, and key challenges

Yohei Okada, Mayli Mertens, Nan Liu et al.

2023 · 39 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.

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.