Kumamoto University

Application of explainable artificial intelligence for healthcare: A systematic review of the last decade (2011–2022)

Hui Wen Loh, Chui Ping Ooi, Silvia Seoni et al.

2022 · 642 Zit.

Fairness of artificial intelligence in healthcare: review and recommendations

Daiju Ueda, Taichi Kakinuma, Shohei Fujita et al.

2023 · 459 Zit.

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

Takeshi Nakaura, Toru Higaki, Kazuo Awai et al.

2020 · 102 Zit.

Preliminary assessment of automated radiology report generation with generative pre-trained transformers: comparing results to radiologist-generated reports

Takeshi Nakaura, Naofumi Yoshida, Naoki Kobayashi et al.

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.

Role of Artificial Intelligence in COVID-19 Detection

Anjan Gudigar, U. Raghavendra, Sneha Nayak et al.

2021 · 66 Zit.

Automated detection of scaphoid fractures using deep neural networks in radiographs

Amanpreet Singh, Ali Abbasian Ardakani, Hui Wen Loh et al.

2023 · 25 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.

Performance of Multimodal Large Language Models in Japanese Diagnostic Radiology Board Examinations (2021-2023)

Takeshi Nakaura, Naofumi Yoshida, Naoki Kobayashi et al.

2024 · 16 Zit.

Evaluating the Performance of Reasoning Large Language Models on Japanese Radiology Board Examination Questions

Takeshi Nakaura, Hiroto Takamure, Naoki Kobayashi et al.

2025 · 8 Zit.

Writing medical papers using large-scale language models: a perspective from the Japanese Journal of Radiology

Takeshi Nakaura, Shinji Naganawa

2023 · 8 Zit.

Issues and Limitations on the Road to Fair and Inclusive AI Solutions for Biomedical Challenges

Oliver Faust, Massimo Salvi, Prabal Datta Barua et al.

2025 · 8 Zit.

Response to Letter to the Editor from Partha Pratim Ray: ‘Integrating AI in radiology: insights from GPT-generated reports and multimodal LLM performance on European Board of Radiology examinations’

Takeshi Nakaura, Toshinori Hirai

2024 · 6 Zit.

Clinical Utility of Temporal Subtraction Images in Successive Whole-Body Bone Scans: Evaluation in a Prospective Clinical Study

Junji Shiraishi, Daniel Appelbaum, Yonglin Pu et al.

2010 · 5 Zit.

Intra-axial primary brain tumor differentiation: comparing large language models on structured MRI reports vs. radiologists on images

Takeshi Nakaura, Hiroyuki Uetani, Naofumi Yoshida et al.

2025 · 4 Zit.