Kyoto University
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Fairness of artificial intelligence in healthcare: review and recommendations
Daiju Ueda, Taichi Kakinuma, Shohei Fujita et al.
2023 · 450 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 · 446 Zit.
Human-centered artificial intelligence in education: Seeing the invisible through the visible
Stephen J.H. Yang, Hiroaki Ogata, Tatsunori Matsui et al.
2021 · 341 Zit.
Classification of glomerular pathological findings using deep learning and nephrologist–AI collective intelligence approach
Eiichiro Uchino, Kanata Suzuki, Noriaki Sato et al.
2020 · 90 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.
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 · 88 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 · 84 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.
Including all voices in international data-sharing governance
Jane Kaye, Sharon F. Terry, Eric T. Juengst et al.
2018 · 74 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.
Climate change and artificial intelligence in healthcare: Review and recommendations towards a sustainable future
Daiju Ueda, Shannon L. Walston, Shohei Fujita et al.
2024 · 70 Zit.
Performance of a Large Language Model in Screening Citations
Takehiko Oami, Yohei Okada, Taka‐aki Nakada
2024 · 50 Zit.
An Open Science Approach to Artificial Intelligence in Healthcare
Chris Paton, Shinji Kobayashi
2019 · 47 Zit.
Explainable artificial intelligence in emergency medicine: an overview
Yohei Okada, Yilin Ning, Marcus Eng Hock Ong
2023 · 39 Zit.
The Privacy and Security Implications of Open Data in Healthcare
Shinji Kobayashi, Thomas B. Kane, Chris Paton
2018 · 35 Zit.