Hokkaido University Hospital

Fairness of artificial intelligence in healthcare: review and recommendations

Daiju Ueda, Taichi Kakinuma, Shohei Fujita et al.

2023 · 457 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.

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

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

2024 · 71 Zit.

Use of artificial intelligence large language models as a clinical tool in rehabilitation medicine: a comparative test case

Liang Zhang, Syoichi Tashiro, Masahiko Mukaino et al.

2023 · 38 Zit.

Generative AI and large language models in nuclear medicine: current status and future prospects

Kenji Hirata, Yusuke Matsui, Akira Yamada et al.

2024 · 22 Zit.

The Global academic research organization network: Data sharing to cure diseases and enable learning health systems

Masanori Fukushima, Christopher Austin, Norihiro Sato et al.

2018 · 14 Zit.

A Learning Program for Treatment Recommendations by Molecular Tumor Boards and Artificial Intelligence

Kuniko Sunami, Yoichi Naito, Yusuke Saigusa et al.

2023 · 12 Zit.

Artificial Intelligence for Patient Safety and Surgical Education in Neurosurgery

Taku Sugiyama, Hiroyuki Sugimori, Minghui Tang et al.

2025 · 6 Zit.

Evaluating the Alignment of Artificial Intelligence‐Generated Recommendations With Clinical Guidelines Focused on Soft Tissue Tumors

Masatake Matsuoka, Tomohiro Onodera, Ryuichi Fukuda et al.

2024 · 5 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 · 3 Zit.

Developing artificial intelligence tools for institutional review board pre-review: A pilot study on ChatGPT’s accuracy and reproducibility

Yasuko Fukataki, Wakako Hayashi, Naoki Nishimoto et al.

2025 · 3 Zit.

Correction: Generative AI and large language models in nuclear medicine: current status and future prospects

Kenji Hirata, Yusuke Matsui, Akira Yamada et al.

2025 · 1 Zit.

Prioritising clinical feasibility and practicality in machine learning–based prediction model: Author’s reply

Kei Imai, Takeshi Unoki, Yasushi Hirota et al.

2026 · 0 Zit.

Development of an XAI-Enhanced Deep-Learning Algorithm for Automated Decision-Making on Shoulder-Joint X-Ray Retaking

Konatsu Sekiura, Takaaki Yoshimura, Hiroyuki Sugimori

2025 · 0 Zit.

Development of an explainable machine learning model to reproduce and interpret expert pharmacological decisions in osteoporosis treatment

Yutaro Sugawara, Tomohiro Shimizu, Hotaka Ishizu et al.

2025 · 0 Zit.