Hiroshima University

Fairness of artificial intelligence in healthcare: review and recommendations

Daiju Ueda, Taichi Kakinuma, Shohei Fujita et al.

2023 · 457 Zit.

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

Takeshi Nakaura, Toru Higaki, Kazuo Awai et al.

2020 · 102 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.

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.

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

Nguyen Manh Hung, Daisaku Goto

2024 · 53 Zit.

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

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

2024 · 40 Zit.

Artificial intelligence enabled healthcare

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

2019 · 38 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 · 28 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.

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

Satoru Kusaka, Tatsuya Akitomo, Masakazu Hamada et al.

2024 · 14 Zit.

Using artificial intelligence to improve human performance: efficient retinal disease detection training with synthetic images

Hitoshi Tabuchi, Justin Engelmann, Fumiatsu Maeda et al.

2024 · 14 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 · 11 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 · 11 Zit.

Artificial Intelligence’s Performance on the Japanese National Dental Examination

Tatsuya Akitomo, Masakazu Hamada, Yasuko Tsuge et al.

2024 · 6 Zit.

Adversarial Attack and Defense in Breast Cancer Deep Learning Systems

Yang Li, Shaoying Liu

2023 · 6 Zit.