The TRIPOD-LLM reporting guideline for studies using large language models: a Korean translation

Jack Gallifant^{1

2

3}, Majid Afshar^{4

5}, Saleem Ameen^{1

6

7

5}, Yindalon Aphinyanaphongs^{8

5}, Shan Chen^{3

9

5}, Giovanni Cacciamani^{10

11

5}, Dina Demner-Fushman^{12

5}, Dmitriy Dligach^{13

5}, Roxana Daneshjou^{14

15

5}, Chrystinne Fernandes^{1

5}, Lasse Hyldig Hansen^{1

16

5}, Adam Landman^{17

5}, Lisa Lehmann^{17

5}, Liam G McCoy^{18

5}, Timothy Miller^{19

5}, Amy Moreno^{20

5}, Nikolaj Munch^{1

16

5}, David Restrepo^{1

21

5}, Guergana Savova^{19

5}, Renato Umeton^{22

5}, Judy Wawira Gichoya^{23

5}, Gary S Collins^{24

25}, Karel G M Moons^{26

27}, Leo A Celi^{1

28

29}, Danielle S Bitterman^{3

9}

Affiliations

¹ Laboratory for Computational Physiology, Massachusetts Institute of Technology, Cambridge, MA, USA.
² Department of Critical Care, Guy's and St Thomas' NHS Foundation Trust, London, UK.
³ Artificial Intelligence in Medicine (AIM) Program, Mass General Brigham, Harvard Medical School, Boston, MA, USA.
⁴ Department of Medicine, University of Wisconsin-Madison, Madison, WI, USA.
⁵ See Authors' contributions.
⁶ Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.
⁷ Tasmanian School of Medicine, College of Health and Medicine, University of Tasmania, Hobart, Tasmania, Australia.
⁸ Department of Population Health, NYU Grossman School of Medicine and Langone Health, New York, NY, USA.
⁹ Department of Radiation Oncology, Brigham and Women's Hospital/Dana-Farber Cancer Institute, Boston, MA, USA.
¹⁰ USC Institute of Urology and Catherine and Joseph Aresty Department of Urology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
¹¹ Artificial Intelligence Center, USC Institute of Urology, University of Southern California, Los Angeles, CA, USA.
¹² National Library of Medicine, NIH, HHS, Bethesda, MD, USA.
¹³ Department of Computer Science, Loyola University, Chicago, IL, USA.
¹⁴ Department of Dermatology, Stanford School of Medicine, Redwood City, CA, USA.
¹⁵ Department of Biomedical Data Science, Stanford School of Medicine, Redwood City, CA, USA.
¹⁶ Cognitive Science, Aarhus University, Jens Chr. Skou 2, Aarhus, Denmark.
¹⁷ Mass General Brigham, Boston, MA, USA.
¹⁸ Faculty of Medicine and Dentistry, University of Alberta, Edmonton, Alberta, Canada.
¹⁹ Computational Health Informatics Program, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA.
²⁰ Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
²¹ Departamento de Telematica, Universidad del Cauca, Popayan, Colombia.
²² Dana-Farber Cancer Institute, Boston, MA, USA.
²³ Department of Radiology, Emory University School of Medicine, Atlanta, GA, USA.
²⁴ Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology, and Musculoskeletal Sciences, University of Oxford, Oxford, UK.
²⁵ UK EQUATOR Centre, Nuffield Department of Orthopaedics, Rheumatology, and Musculoskeletal Sciences, University of Oxford, Oxford, UK.
²⁶ Julius Center for Health Sciences and Primary Care, UMC Utrecht, Utrecht University, Utrecht, the Netherlands.
²⁷ Health Innovation Netherlands (HINL), Utrecht, the Netherlands.
²⁸ Division of Pulmonary, Critical Care and Sleep Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA.
²⁹ Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA.

PMID: 40739974
PMCID: PMC12362290
DOI: 10.12771/emj.2025.00661

Guideline

The TRIPOD-LLM reporting guideline for studies using large language models: a Korean translation

Jack Gallifant et al. Ewha Med J. 2025 Jul.

. 2025 Jul;48(3):e49.

doi: 10.12771/emj.2025.00661. Epub 2025 Jul 31.

Authors

Affiliations

¹ Laboratory for Computational Physiology, Massachusetts Institute of Technology, Cambridge, MA, USA.
² Department of Critical Care, Guy's and St Thomas' NHS Foundation Trust, London, UK.
³ Artificial Intelligence in Medicine (AIM) Program, Mass General Brigham, Harvard Medical School, Boston, MA, USA.
⁴ Department of Medicine, University of Wisconsin-Madison, Madison, WI, USA.
⁵ See Authors' contributions.
⁶ Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.
⁷ Tasmanian School of Medicine, College of Health and Medicine, University of Tasmania, Hobart, Tasmania, Australia.
⁸ Department of Population Health, NYU Grossman School of Medicine and Langone Health, New York, NY, USA.
⁹ Department of Radiation Oncology, Brigham and Women's Hospital/Dana-Farber Cancer Institute, Boston, MA, USA.
¹⁰ USC Institute of Urology and Catherine and Joseph Aresty Department of Urology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
¹¹ Artificial Intelligence Center, USC Institute of Urology, University of Southern California, Los Angeles, CA, USA.
¹² National Library of Medicine, NIH, HHS, Bethesda, MD, USA.
¹³ Department of Computer Science, Loyola University, Chicago, IL, USA.
¹⁴ Department of Dermatology, Stanford School of Medicine, Redwood City, CA, USA.
¹⁵ Department of Biomedical Data Science, Stanford School of Medicine, Redwood City, CA, USA.
¹⁶ Cognitive Science, Aarhus University, Jens Chr. Skou 2, Aarhus, Denmark.
¹⁷ Mass General Brigham, Boston, MA, USA.
¹⁸ Faculty of Medicine and Dentistry, University of Alberta, Edmonton, Alberta, Canada.
¹⁹ Computational Health Informatics Program, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA.
²⁰ Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
²¹ Departamento de Telematica, Universidad del Cauca, Popayan, Colombia.
²² Dana-Farber Cancer Institute, Boston, MA, USA.
²³ Department of Radiology, Emory University School of Medicine, Atlanta, GA, USA.
²⁴ Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology, and Musculoskeletal Sciences, University of Oxford, Oxford, UK.
²⁵ UK EQUATOR Centre, Nuffield Department of Orthopaedics, Rheumatology, and Musculoskeletal Sciences, University of Oxford, Oxford, UK.
²⁶ Julius Center for Health Sciences and Primary Care, UMC Utrecht, Utrecht University, Utrecht, the Netherlands.
²⁷ Health Innovation Netherlands (HINL), Utrecht, the Netherlands.
²⁸ Division of Pulmonary, Critical Care and Sleep Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA.
²⁹ Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA.

PMID: 40739974
PMCID: PMC12362290
DOI: 10.12771/emj.2025.00661

No abstract available

PubMed Disclaimer

Conflict of interest statement

Conflict of interest

DSB is an associate editor at Radiation Oncology and HemOnc.org, receives research funding from the American Association for Cancer Research, and provides advisory and consulting services for Mercurial AI. DDF is an associate editor at the Journal of the American Medical Informatics Association, is a member of the editorial board of Scientific Data, and receives funding from the intramural research program at the US National Library of Medicine, NIH. JWG is a member of the editorial board of Radiology: Artificial Intelligence, BJR Artificial Intelligence, and NEJM AI. All other authors declare no potential conflict of interest relevant to this article.

Figures

**Fig. 1.**
TRIPOD-LLM 워크플로우. TRIPOD-LLM 체크리스트 워크플로우는 총 59개의 보고 항목으로 시작하며, 연구과업(예: 분류, 요약)과 연구설계(예: LLM 평가) 선택에 따라 필요한 항목 수가 점차 줄어든다. 두 가지 모두 선택한 후에는, 보고에 필요한 항목만 필터링된 목록이 생성된다. TRIPOD, transparent reporting of a multivariable model for individual prognosis or diagnosis; LLM, large language model.

See this image and copyright information in PMC

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The TRIPOD-LLM reporting guideline for studies using large language models: a Korean translation

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The TRIPOD-LLM reporting guideline for studies using large language models: a Korean translation

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