Tokyo Institute of Technology
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Performance of ChatGPT Across Different Versions in Medical Licensing Examinations Worldwide: Systematic Review and Meta-Analysis
Mingxin Liu, Tsuyoshi Okuhara, Xinyi Chang et al.
2024 · 150 Zit.
AAPM task group report 273: Recommendations on best practices for AI and machine learning for computer‐aided diagnosis in medical imaging
Lubomir M. Hadjiiski, H. Kenny, Heang‐Ping Chan et al.
2022 · 85 Zit.
Integrating prior knowledge to build transformer models
Pei Jiang, Takashi Obi, Yoshikazu Nakajima
2024 · 37 Zit.
Toward global standardization of conducting fair investigations of allegations of research misconduct
Rei Nouchi, H. Aihara, Fumie Arie et al.
2020 · 31 Zit.
Artificial intelligence in medicine: mitigating risks and maximizing benefits via quality assurance, quality control, and acceptance testing
Usman Mahmood, Amita Shukla‐Dave, Heang‐Ping Chan et al.
2024 · 31 Zit.
Cancer Prevention Using Machine Learning, Nudge Theory and Social Impact Bond
Daitaro Misawa, Jun Fukuyoshi, Shintaro Sengoku
2020 · 30 Zit.
Insights into security and privacy issues in smart healthcare systems based on medical images
Fei Yan, Nianqiao Li, Abdullah M. Iliyasu et al.
2023 · 28 Zit.
AI and machine learning in medical imaging: key points from development to translation
Ravi K. Samala, Karen Drukker, Amita Shukla‐Dave et al.
2024 · 20 Zit.
ChatGPT for Software Development: Opportunities and Challenges
Wahyu Rahmaniar
2024 · 15 Zit.
Innovation Process and Industrial System of US Food and Drug Administration–Approved Software as a Medical Device: Review and Content Analysis
Jiakan Yu, Jiajie Zhang, Shintaro Sengoku
2023 · 14 Zit.
ChatGPT and me: First-time and experienced users’ perceptions of ChatGPT’s communicative ability as a dialogue partner
Iona Gessinger, Katie Seaborn, Madeleine Steeds et al.
2024 · 12 Zit.
PreCurious: How Innocent Pre-Trained Language Models Turn into Privacy Traps
Ruixuan Liu, Tianhao Wang, Yang Cao et al.
2024 · 8 Zit.
Deep learning-based chest X-ray age serves as a novel biomarker for cardiovascular aging
Hirotaka Ieki, Kaoru Ito, Mike Saji et al.
2021 · 5 Zit.
ChatGPT for Software Development: Opportunities and Challenges
Wahyu Rahmaniar
2023 · 5 Zit.
Performance of ChatGPT in medical licensing examinations in countries worldwide: A systematic review and meta-analysis protocol
Mingxin Liu, Tsuyoshi Okuhara, Xinyi Chang et al.
2024 · 5 Zit.