Hokkaido 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 · 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.