Kumamoto University
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
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 · 648 Zit.
Fairness of artificial intelligence in healthcare: review and recommendations
Daiju Ueda, Taichi Kakinuma, Shohei Fujita et al.
2023 · 471 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 · 87 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 · 78 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 · 26 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.
Performance of Multimodal Large Language Models in Japanese Diagnostic Radiology Board Examinations (2021-2023)
Takeshi Nakaura, Naofumi Yoshida, Naoki Kobayashi et al.
2024 · 17 Zit.
Writing medical papers using large-scale language models: a perspective from the Japanese Journal of Radiology
Takeshi Nakaura, Shinji Naganawa
2023 · 9 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.
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.
Recent topics in musculoskeletal imaging focused on clinical applications of AI: How should radiologists approach and use AI?
Taiki Nozaki, Masahiro Hashimoto, Daiju Ueda et al.
2025 · 4 Zit.