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Hiroshima University

111.592 Arbeiten6.859.096 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 · 488 Zit.

A primer for understanding radiology articles about machine learning and deep learning

Takeshi Nakaura, Toru Higaki, Kazuo Awai et al.

2020 · 103 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 · 96 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 · 85 Zit.

Using artificial intelligence to diagnose fresh osteoporotic vertebral fractures on magnetic resonance images

Akito Yabu, Masatoshi Hoshino, Hitoshi Tabuchi et al.

2021 · 67 Zit.

Unmasking academic cheating behavior in the artificial intelligence era: Evidence from Vietnamese undergraduates

Nguyen Manh Hung, Daisaku Goto

2024 · 56 Zit.

A ChatGPT-MATLAB framework for numerical modeling in geotechnical engineering applications

Daehyun Kim, Tae-Gu Kim, Y. Kim et al.

2024 · 46 Zit.

Artificial intelligence enabled healthcare

Sudip Bhattacharya, Keerti Bhusan Pradhan, MA Bashar et al.

2019 · 39 Zit.

Ethical and regulatory considerations in the use of AI and machine learning in nursing: A systematic review

Suheb Mohammed, Yasmine M Osman, Ateya Megahed Ibrahim et al.

2025 · 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 · 23 Zit.

Usefulness of Generative Artificial Intelligence (AI) Tools in Pediatric Dentistry

Satoru Kusaka, Tatsuya Akitomo, Masakazu Hamada et al.

2024 · 16 Zit.

AI-based medical ethics education: examining the potential of large language models as a tool for virtue cultivation

Shimpei Okamoto, Masanori Kataoka, Makoto Itano et al.

2025 · 13 Zit.

Real-time artificial intelligence evaluation of cataract surgery

Hitoshi Tabuchi, Shoji Morita, Masayuki Miki et al.

2022 · 12 Zit.

Benchmarking multimodal large language models on the dental licensing examination: Challenges with clinical image interpretation

Yuichi Mine, Shota Okazaki, Tsuyoshi Taji et al.

2025 · 12 Zit.

Analyzing the performance of multimodal large language models on visually-based questions in the Japanese National Examination for Dental Technicians

Yuichi Mine, Tsuyoshi Taji, Shota Okazaki et al.

2025 · 7 Zit.