OpenAlex · Aktualisierung stündlich · Letzte Aktualisierung: 27.03.2026, 18:01

Tohoku University

271.885 Arbeiten18.146.356 Zitationen
Land: JPTyp: education

Relevante Arbeiten

Meistzitierte Publikationen im Bereich Gesundheit & MedTech

Performance evaluation of ChatGPT, GPT-4, and Bard on the official board examination of the Japan Radiology Society

Yoshitaka Toyama, Ayaka Harigai, Mirei Abe et al.

2023 · 132 Zit.

Impact of COVID-19 restrictions on the research environment and motivation of researchers in Japan

Yasuhiro Miki, Natsuko Chubachi, Fumihiko Imamura et al.

2020 · 28 Zit.

Roles and Competencies of Doctors in Artificial Intelligence Implementation: Qualitative Analysis Through Physician Interviews

Masashi Tanaka, Shinji Matsumura, Seiji Bito

2023 · 26 Zit.

Design-Centered HRI Governance for Healthcare Robots

Yueh-Hsuan Weng, Yasuhisa Hirata

2022 · 15 Zit.

Response accuracy of GPT-4 across languages: insights from an expert-level diagnostic radiology examination in Japan

Ayaka Harigai, Yoshitaka Toyama, Mitsutoshi Nagano et al.

2024 · 9 Zit.

Assessing knowledge about medical physics in language-generative AI with large language model: using the medical physicist exam

Noriyuki Kadoya, Kazuhiro Arai, Shohei Tanaka et al.

2024 · 8 Zit.

Role of Artificial Intelligence in Surgical Training by Assessing GPT-4 and GPT-4o on the Japan Surgical Board Examination With Text-Only and Image-Accompanied Questions: Performance Evaluation Study

Hirotaka Maruyama, Yoshitaka Toyama, Kentaro Takanami et al.

2025 · 6 Zit.

Vision Transformer–based Deep Learning Models Accelerate Further Research for Predicting Neurosurgical Intervention

Kengo Takahashi, Takuma Usuzaki, Ryusei Inamori

2024 · 4 Zit.

JPR starts 2022 with a new design –Towards a new frontier in prosthodontics–

Hiroshi Egusa

2022 · 4 Zit.

Letter to the editor response to “ChatGPT, GPT-4, and bard and official board examination: comment”

Ayaka Harigai, Yoshitaka Toyama, Kei Takase

2023 · 4 Zit.

Automating the data extraction process for systematic reviews using GPT-4o and o3

Yuki Kataoka, T. Takayama, Kenichi Yoshimura et al.

2025 · 4 Zit.

Clinical competencies for using generative AI in patient care

Marcus Lewis, David Fraile Navarro, Charlotte Blease et al.

2025 · 3 Zit.

Digital twin computing for enhancing resilience of disaster response system

Shunichi Koshimura, Erick Mas

2023 · 3 Zit.

Needs of bereaved families of patients with cancer towards artificial intelligence in palliative care: A web-based survey

Kento Masukawa, Hideyuki Hirayama, Keita Tagami et al.

2025 · 3 Zit.

Hemoglobin AI levels in hyperthyroidism.

Tsuyoshi Saito, Tokutaro Sato, Makiko Yamamoto et al.

1982 · 3 Zit.