The potential of Generative Pre-trained Transformer 4 (GPT-4) to analyse medical notes in three different languages: a retrospective model-evaluation study.

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Title: The potential of Generative Pre-trained Transformer 4 (GPT-4) to analyse medical notes in three different languages: a retrospective model-evaluation study.
Authors: Menezes MCS; Department of Biomedical Informatics, Medical School, Harvard University, Boston, MA, USA; Department of Internal Medicine, University of Texas at Southwestern, Dallas, TX, USA., Hoffmann AF; Department of Biomedical Informatics, Medical School, Harvard University, Boston, MA, USA., Tan ALM; Department of Biomedical Informatics, Medical School, Harvard University, Boston, MA, USA., Nalbandyan M; Office of Informatics and Information Technology, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA., Omenn GS; Computational Medicine and Bioinformatics, Internal Medicine, Human Genetics, Environmental Health, University of Michigan, Ann Arbor, MI, USA., Mazzotti DR; Division of Medical Informatics and Division of Pulmonary Critical Care and Sleep Medicine, Department of Internal Medicine, University of Kansas Medical Center, Kansas City, KS, USA., Hernández-Arango A; Department of Internal Medicine, University of Antioquia, Hospital Alma Máter de Antioquia, Medellín, Colombia., Visweswaran S; Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, PA, USA., Venkatesh S; Department of Neurology, University of Pittsburgh, Pittsburgh, PA, USA., Mandl KD; Computational Health Informatics Program, Boston Children's Hospital, Boston, MA, USA., Bourgeois FT; Department of Pediatrics, Boston Children's Hospital, Boston, MA, USA., Lee JWK; Department of Surgery, National University Health System, Singapore., Makmur A; Department of Diagnostic Imaging, National University Health System, Singapore., Hanauer DA; Department of Learning Health Sciences, University of Michigan, Ann Arbor, MI, USA., Semanik MG; Office of Informatics and Information Technology, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA., Kerivan LT; Department of Surgery, University of Kansas Medical Center, Kansas City, KS, USA., Hill T; Department of Surgery, University of Kansas Medical Center, Kansas City, KS, USA., Forero J; Department of Internal Medicine, University of Antioquia, Hospital Alma Máter de Antioquia, Medellín, Colombia., Restrepo C; Department of Internal Medicine, University of Antioquia, Hospital Alma Máter de Antioquia, Medellín, Colombia., Vigna M; Respiratory Rehabilitation Unit, Istituti Clinici Scientifici Maugeri Istituto di Ricovero e Cura a Carattere Scientifico, Pavia, Italy., Ceriana P; Respiratory Rehabilitation Unit, Istituti Clinici Scientifici Maugeri Istituto di Ricovero e Cura a Carattere Scientifico, Pavia, Italy., Abu-El-Rub N; Research Informatics, University of Kansas Medical Center, Kansas City, KS, USA., Avillach P; Department of Biomedical Informatics, Medical School, Harvard University, Boston, MA, USA., Bellazzi R; Department of Electrical, Computer and Biomedical Engineering, University of Pavia, Pavia, Italy., Callaci T; Office of Informatics and Information Technology, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA., Gutiérrez-Sacristán A; Department of Biomedical Informatics, Medical School, Harvard University, Boston, MA, USA., Malovini A; Laboratory of Medical Informatics and Artificial Intelligence, Istituti Clinici Scientifici Maugeri Istituto di Ricovero e Cura a Carattere Scientifico, Pavia, Italy., Mathew JP; Office of Informatics and Information Technology, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA., Morris M; Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, PA, USA., Murthy VL; Department of Internal Medicine and Frankel Cardiovascular Center, University of Michigan, Ann Arbor, MI, USA., Buonocore TM; Department of Electrical, Computer and Biomedical Engineering, University of Pavia, Pavia, Italy., Parimbelli E; Department of Electrical, Computer and Biomedical Engineering, University of Pavia, Pavia, Italy., Patel LP; Research Informatics, University of Kansas Medical Center, Kansas City, KS, USA., Sáez C; Biomedical Data Science Lab, Instituto Universitario de Tecnologías de la Información y Comunicaciones, Universitat Politècnica de València, Valencia, Spain., Samayamuthu MJ; Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, PA, USA., Thompson JA; Department of Biostatistics and Data Science, University of Kansas Medical Center, Kansas City, KS, USA., Tibollo V; Laboratory of Medical Informatics and Artificial Intelligence, Istituti Clinici Scientifici Maugeri Istituto di Ricovero e Cura a Carattere Scientifico, Pavia, Italy., Xia Z; Department of Neurology, University of Pittsburgh, Pittsburgh, PA, USA., Kohane IS; Department of Biomedical Informatics, Medical School, Harvard University, Boston, MA, USA. Electronic address: isaac_kohane@hms.harvard.edu.
Corporate Authors: Consortium for Clinical Characterization of COVID-19 by Electronic Health Records
Source: The Lancet. Digital health [Lancet Digit Health] 2025 Jan; Vol. 7 (1), pp. e35-e43.
Publication Type: Journal Article; Research Support, N.I.H., Extramural
Journal Info: Publisher: Elsevier Ltd Country of Publication: England NLM ID: 101751302 Publication Model: Print Cited Medium: Internet ISSN: 2589-7500 (Electronic) Linking ISSN: 25897500 NLM ISO Abbreviation: Lancet Digit Health Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2589-7500
DOI:10.1016/S2589-7500(24)00246-2