The TRIPOD-LLM Statement: A Targeted Guideline For Reporting Large Language Models Use.
Jack GallifantMajid AfsharSaleem AmeenYindalon AphinyanaphongsShan ChenGiovanni CacciamaniDina Demner-FushmanDmitriy DligachRoxana DaneshjouChrystinne FernandesLasse Hyldig HansenAdam LandmanLisa LehmannLiam G McCoyTimothy MillerAmy MorenoNikolaj MunchDavid RestrepoGuergana SavovaRenato UmetonJudy Wawira GichoyaGary S CollinsKarel G M MoonsLeo A CeliDanielle S BittermanPublished in: medRxiv : the preprint server for health sciences (2024)
DSB: Editorial, unrelated to this work: Associate Editor of Radiation Oncology, HemOnc.org (no financial compensation); Research funding, unrelated to this work: American Association for Cancer Research; Advisory and consulting, unrelated to this work: MercurialAI. DDF: Editorial, unrelated to this work: Associate Editor of JAMIA, Editorial Board of Scientific Data, Nature; Funding, unrelated to this work: the intramural research program at the U.S. National Library of Medicine, National Institutes of Health. JWG: Editorial, unrelated to this work: Editorial Board of Radiology: Artificial Intelligence, British Journal of Radiology AI journal and NEJM AI. All other authors declare no conflicts of interest.