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Radiomics and Machine Learning in Medical Imaging

The TRIPOD-LLM reporting guideline for studies using large language models

Jack Gallifant, Majid Afshar, Saleem Ameen, Yindalon Aphinyanaphongs, Shan Chen, Giovanni Cacciamani, Dina Demner‐Fushman, Dmitriy Dligach, Roxana Daneshjou, Chrystinne Oliveira Fernandes, Lasse Hyldig Hansen, Adam Landman, Lisa Soleymani Lehmann, Liam G. McCoy, Timothy A. Miller, Amy C. Moreno, Nikolaj Munch, David Restrepo, Guergana Savova, Renato Umeton, Judy Wawira Gichoya, Professor Gary S. Collins, Karel G.M. Moons, Leo Anthony Celi, Danielle S. Bitterman

Radiomics and Machine Learning in Medical ImagingArtificial Intelligence in Healthcare and EducationMachine Learning in Healthcare
Published January 1, 2025Read PDF ↗View on arXiv ↗

Abstract

Sourced from arXiv · Updated September 2, 2026

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What is "The TRIPOD-LLM reporting guideline for studies using large language models" about?

The TRIPOD-LLM reporting guideline for studies using large language models

Who wrote this paper?

Jack Gallifant, Majid Afshar, Saleem Ameen, Yindalon Aphinyanaphongs, Shan Chen, Giovanni Cacciamani, Dina Demner‐Fushman, Dmitriy Dligach, Roxana Daneshjou, Chrystinne Oliveira Fernandes, Lasse Hyldig Hansen, Adam Landman, Lisa Soleymani Lehmann, Liam G. McCoy, Timothy A. Miller, Amy C. Moreno, Nikolaj Munch, David Restrepo, Guergana Savova, Renato Umeton, Judy Wawira Gichoya, Professor Gary S. Collins, Karel G.M. Moons, Leo Anthony Celi, Danielle S. Bitterman

Where can I read the full paper?

The full text is available as a PDF on arXiv (linked above), published January 1, 2025.

Does this paper have a DOI?

Yes: https://doi.org/10.1038/s41591-024-03425-5.