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Tokai University

44.495 Arbeiten1.838.317 Zitationen
Land: JPTyp: education

Relevante Arbeiten

Meistzitierte Publikationen im Bereich Gesundheit & MedTech

Robots and Robotics in Nursing

Gil P. Soriano, Yuko Yasuhara, Hirokazu Ito et al.

2022 · 72 Zit.

Toward global standardization of conducting fair investigations of allegations of research misconduct

Rei Nouchi, H. Aihara, Fumie Arie et al.

2020 · 31 Zit.

Ethical Use of Cadaveric Images in Anatomical Textbooks, Atlases, and Journals: A Consensus Response From Authors and Editors

Joe Iwanaga, Kyu‐Ho Yi, Keiichi Akita et al.

2025 · 21 Zit.

Machine Learning in Predicting Tooth Loss: A Systematic Review and Risk of Bias Assessment

Akira Hasuike, Taito Watanabe, Shin Wakuda et al.

2022 · 14 Zit.

Development of Novel Artificial Intelligence to Detect the Presence of Clinically Meaningful Coronary Atherosclerotic Stenosis in Major Branch from Coronary Angiography Video

Hiroto Yabushita, Shinichi Goto, Sunao Nakamura et al.

2020 · 12 Zit.

Threats and opportunities of using <scp>ChatGPT</scp> in scientific writing—The risk of getting spine <i>less</i>

Luca Ambrosio, Jordy Schol, Vincenzo Amedeo La Pietra et al.

2023 · 12 Zit.

The Importance of External Validation for Neural Network Models

Shinichi Goto, Hideki Ozawa

2023 · 4 Zit.

Machine learning insights into patient satisfaction following lateral lumbar interbody fusion

Akihiko Hiyama, Daisuke Sakai, Hiroyuki Katoh et al.

2025 · 3 Zit.

Current status and future direction of cancer research using artificial intelligence for clinical application

Ryuji Hamamoto, Masaaki Komatsu, Masayoshi Yamada et al.

2024 · 3 Zit.

Integration of Artificial Intelligence in Medicines

Masaki Mori

2024 · 1 Zit.

21ST ANNUAL MEETING ON ARTIFICIAL HEARTS AND ASSISTED CIRCULATION

Yoshinori Mitamura

1993 · 0 Zit.

A deep learning-based prediction model for prognosis of cervical spine injury: a Japanese multicenter survey

Sadayuki Ito, Hiroaki Nakashima, Naoki Segi et al.

2025 · 0 Zit.

Differences in healthcare professionals' perceptions of robots' usefulness, challenges, cautions, ethical issues, and intermediary roles by the experience of robot use

Kyoko Osaka, Rie Shimomoto, Ryuichi Tanioka et al.

2023 · 0 Zit.

Medical-dental Collaboration Using AI

Yasunari Kageyama

2025 · 0 Zit.

Artificial Intelligence in Comprehensive Health Examinations

Shinichi Goto

2024 · 0 Zit.