OpenAlex · Aktualisierung stündlich · Letzte Aktualisierung: 15.03.2026, 10:43

Hokkaido University

181.086 Arbeiten11.239.434 Zitationen
Land: JPTyp: education

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 · 459 Zit.

A framework for advancing sustainable magnetic resonance imaging access in Africa

Udunna Anazodo, Jinggang J. Ng, Boaz Ehiogu et al.

2022 · 91 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.

Grad-CAM-Based Explainable Artificial Intelligence Related to Medical Text Processing

Hongjian Zhang, Katsuhiko Ogasawara

2023 · 84 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.

Assessing the Performance of GPT-3.5 and GPT-4 on the 2023 Japanese Nursing Examination

Yudai Kaneda, Ryo Takahashi, Uiri Kaneda et al.

2023 · 46 Zit.

Preliminary study of AI-assisted diagnosis using FDG-PET/CT for axillary lymph node metastasis in patients with breast cancer

Zongyao Li, Kazuhiro Kitajima, Kenji Hirata et al.

2021 · 46 Zit.

Acceptance of the Use of Artificial Intelligence in Medicine Among Japan’s Doctors and the Public: A Questionnaire Survey

Honoka Tamori, Hiroko Yamashina, Masami Mukai et al.

2021 · 45 Zit.

Classification of Computed Tomography Images in Different Slice Positions Using Deep Learning

Hiroyuki Sugimori

2018 · 41 Zit.

Regulatory Science on AI-based Medical Devices and Systems

Kiyoyuki Chinzei, Akinobu Shimizu, Kensaku Mori et al.

2018 · 34 Zit.

Can ChatGPT Pass the 2023 Japanese National Medical Licensing Examination?

Yudai Kaneda, Tetsuya Tanimoto, Akihiko Ozaki et al.

2023 · 22 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.

Evaluating Large Language Models in Dental Anesthesiology: A Comparative Analysis of ChatGPT-4, Claude 3 Opus, and Gemini 1.0 on the Japanese Dental Society of Anesthesiology Board Certification Exam

Misaki Fujimoto, Hidetaka Kuroda, Tomomi Katayama et al.

2024 · 21 Zit.

A convolutional neural network-based system to prevent patient misidentification in FDG-PET examinations

Keisuke Kawauchi, Kenji Hirata, Chietsugu Katoh et al.

2019 · 19 Zit.

ChatGPT (GPT-4) passed the Japanese National License Examination for Pharmacists in 2022, answering all items including those with diagrams: a descriptive study

Hiroyasu Sato, Katsuhiko Ogasawara

2024 · 19 Zit.