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The TRIPOD-LLM reporting guideline for studies using large language models
Jack Gallifant, Majid Afshar, Saleem Ameen, Yindalon Aphinyanaphongs, Shan Chen, Giovanni Enrico Cacciamani, Dina Demner‐Fushman, Dmitriy Dligach 等 25 位
Harvard University Guy's and St Thomas' NHS Foundation Trust Mass General Brigham Massachusetts Institute of Technology
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逐年被引趋势
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512
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289.22
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同类平均 = 1
前 0.1%
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生物医学Radiomics and Machine Learning in Medical Imaging
Artificial Intelligence in Healthcare and Education · Machine Learning in Healthcare
参考文献 54
Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): The TRIPOD statement
被引 3,363Professor Gary S. Collins, Johannes B. Reitsma, Douglas G. Altman · British Journal of Cancer · 2015
BLEU
被引 22,077Kishore Papineni, Salim Roukos, Todd J. Ward · 2001
What is “quality of evidence” and why is it important to clinicians?
被引 3,290Gordon Henry Guyatt, Andrew David Oxman, Regina Kunz · BMJ · 2008
此处列出前 3 条
引用本文 512
The STARD-AI reporting guideline for diagnostic accuracy studies using artificial intelligence
被引 275Viknesh Sounderajah, Ahmad Guni, Xiaoxuan Liu · Nature Medicine · 2025
Generative artificial intelligence in medicine
被引 104Zhen Ling Teo, Arun James Thirunavukarasu, Kabilan Elangovan · Nature Medicine · 2025
A practical framework for appropriate implementation and review of artificial intelligence (FAIR-AI) in healthcare
被引 72Brian J. Wells, Hieu Nguyen, Andrew D. McWilliams · npj Digital Medicine · 2025
按被引量排序，此处列出前 3 条