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The TRIPOD-LLM reporting guideline for studies using large language models
2025·243 Zitationen·Nature MedicineOpen Access
Volltext beim Verlag öffnen243
Zitationen
25
Autoren
2025
Jahr
Abstract
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Autoren
- 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
- Gary S. Collins
- Karel G.M. Moons
- Leo Anthony Celi
- Danielle S. Bitterman
Institutionen
- Harvard University(US)
- Guy's and St Thomas' NHS Foundation Trust(GB)
- Mass General Brigham(US)
- Massachusetts Institute of Technology(US)
- University of Wisconsin–Madison(US)
- University of Tasmania(AU)
- Brigham and Women's Hospital(US)
- Dana-Farber Cancer Institute(US)
- Dana-Farber Brigham Cancer Center(US)
- University of Southern California(US)
- United States National Library of Medicine(US)
- Loyola University Chicago(US)
- Stanford Medicine(US)
- Aarhus University(DK)
- University of Alberta(CA)
- Boston Children's Hospital(US)
- The University of Texas MD Anderson Cancer Center(US)
- University of Cauca(CO)
- Emory University(US)
- Nuffield Orthopaedic Centre(GB)
- University of Oxford(GB)
- Utrecht University(NL)
- University Medical Center Utrecht(NL)
- Art Innovation (Netherlands)(NL)
- Beth Israel Deaconess Medical Center(US)
- Artificial Intelligence in Medicine (Canada)(CA)
Themen
Radiomics and Machine Learning in Medical ImagingArtificial Intelligence in Healthcare and EducationMachine Learning in Healthcare