دورية أكاديمية

The effect of using a large language model to respond to patient messages.

التفاصيل البيبلوغرافية
العنوان: The effect of using a large language model to respond to patient messages.
المؤلفون: Chen S; Artificial Intelligence in Medicine Program, Mass General Brigham, Harvard Medical School, Boston, MA, USA; Department of Radiation Oncology, Brigham and Women's Hospital and Dana-Farber Cancer Institute, Boston, MA 02115, USA; Computational Health Informatics Program, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA., Guevara M; Artificial Intelligence in Medicine Program, Mass General Brigham, Harvard Medical School, Boston, MA, USA; Department of Radiation Oncology, Brigham and Women's Hospital and Dana-Farber Cancer Institute, Boston, MA 02115, USA., Moningi S; Department of Radiation Oncology, Brigham and Women's Hospital and Dana-Farber Cancer Institute, Boston, MA 02115, USA., Hoebers F; Artificial Intelligence in Medicine Program, Mass General Brigham, Harvard Medical School, Boston, MA, USA; Department of Radiation Oncology, Brigham and Women's Hospital and Dana-Farber Cancer Institute, Boston, MA 02115, USA; Department of Radiation Oncology, GROW School for Oncology and Reproduction, Maastricht University, Maastricht, Netherlands., Elhalawani H; Department of Radiation Oncology, Brigham and Women's Hospital and Dana-Farber Cancer Institute, Boston, MA 02115, USA., Kann BH; Artificial Intelligence in Medicine Program, Mass General Brigham, Harvard Medical School, Boston, MA, USA; Department of Radiation Oncology, Brigham and Women's Hospital and Dana-Farber Cancer Institute, Boston, MA 02115, USA., Chipidza FE; Department of Radiation Oncology, Brigham and Women's Hospital and Dana-Farber Cancer Institute, Boston, MA 02115, USA., Leeman J; Department of Radiation Oncology, Brigham and Women's Hospital and Dana-Farber Cancer Institute, Boston, MA 02115, USA., Aerts HJWL; Artificial Intelligence in Medicine Program, Mass General Brigham, Harvard Medical School, Boston, MA, USA; Department of Radiation Oncology, Brigham and Women's Hospital and Dana-Farber Cancer Institute, Boston, MA 02115, USA; Radiology and Nuclear Medicine, GROW and Cardiovascular Research Institute Maastricht, Maastricht University, Maastricht, Netherlands., Miller T; Computational Health Informatics Program, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA., Savova GK; Computational Health Informatics Program, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA., Gallifant J; Laboratory for Computational Physiology, Massachusetts Institute of Technology, Cambridge, MA, USA., Celi LA; Laboratory for Computational Physiology, Massachusetts Institute of Technology, Cambridge, MA, USA; Division of Pulmonary, Critical Care and Sleep Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA; Department of Biostatistics, Harvard T H Chan School of Public Health, Boston, MA, USA., Mak RH; Artificial Intelligence in Medicine Program, Mass General Brigham, Harvard Medical School, Boston, MA, USA; Department of Radiation Oncology, Brigham and Women's Hospital and Dana-Farber Cancer Institute, Boston, MA 02115, USA., Lustberg M; Department of Medical Oncology, Yale School of Medicine, New Haven, CT, USA., Afshar M; Department of Medicine, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA., Bitterman DS; Artificial Intelligence in Medicine Program, Mass General Brigham, Harvard Medical School, Boston, MA, USA; Department of Radiation Oncology, Brigham and Women's Hospital and Dana-Farber Cancer Institute, Boston, MA 02115, USA; Computational Health Informatics Program, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA. Electronic address: dbitterman@bwh.harvard.edu.
المصدر: The Lancet. Digital health [Lancet Digit Health] 2024 Jun; Vol. 6 (6), pp. e379-e381. Date of Electronic Publication: 2024 Apr 24.
نوع المنشور: Journal Article
اللغة: English
بيانات الدورية: Publisher: Elsevier Ltd Country of Publication: England NLM ID: 101751302 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2589-7500 (Electronic) Linking ISSN: 25897500 NLM ISO Abbreviation: Lancet Digit Health Subsets: PubMed not MEDLINE; MEDLINE
أسماء مطبوعة: Original Publication: [Oxford] : Elsevier Ltd., [2019]-
مستخلص: Competing Interests: DSB reports being an Associate Editor of Radiation Oncology at HemOnc.org (no financial compensation, unrelated to this work, and recieving funding from American Association for Cancer Research, unrelated to this work. HJWLA reports advising and consulting for Onc.AI, Love Health, Sphera, Editas, AstraZeneca, and Bristol Myers Squibb, unrelated to this work. RHM reports being on an Advisory Board for ViewRay and AstraZeneca; Consulting for Varian Medical Systems and Sio Capital Management; and honorarium from Novartis and Springer Nature. JL reports research funding from Viewray, NH Theraguix, and Varian. ML reports advisory and consulting for Pfizer, Gilead, Novartis, and AstraZeneca, unrelated to this work. BHK reports research funding from Botha-Chan Low Grade Glioma Consortium (National institutes of Health [NIH]-USA K08DE030216-01). All other authors declare no competing interests. The authors acknowledge financial support from the Woods Foundation (DSB, RHM, BHK, and HJWLA) NIH (NIH-USA U54CA274516-01A1 (SC, MG, BHK, HJWLA, GKS, and DSB), NIH-USA U24CA194354 (HJWLA), NIH-USA U01CA190234 (HJWLA), NIH-USA U01CA209414 (HJWLA), and NIH-USA R35CA22052 (HJWLA), NIH-NIDA R01DA051464 (MA), R01GM114355 (GKS), NIH-USA R01LM012973 (TM and MA), NIH-USA R01MH126977 (TM), NIH-USA U54 TW012043-01 (JG and LAC), NIH-USA OT2OD032701 (JG and LAC), NIH-USA R01EB017205 (LAC), and the EU European Research Council (HJWLA 866504), all outside of the submitted work. All data collected and generated in this study, after de-identification, are available at https://github.com/AIM-Harvard/OncQA. SC: conceptualisation, data curation, formal analysis, investigation, methodology, visualisation, and writing (original draft, review, and editing). MG: conceptualisation, data curation, and formal analysis. SM, FH EH, BHK, FEC, JL: data curation, investigation, and methodology. RHM: data curation, investigation, methodology, and writing (review and editing). HJWLA: investigation, methodology, resources, and writing (review and editing). JG: formal analysis, investigation, methodology, visualisation, and writing (review and editing). TM and GKS: formal analysis, investigation, methodology, and writing (review and editing). ML data curation, formal analysis, investigation, and methodology. LAC formal analysis, investigation, supervision, and writing (review and editing). MA: conceptualisation, data curation, formal analysis, investigation, methodology, supervision, and writing (review and editing). DSB: conceptualisation, data curation, formal analysis, investigation, methodology, supervision, visualisation, resources, and writing (original draft, review, and editing). SC and DSB directly accessed and verified the underlying data reported in the manuscript. All authors have full access to all the data in the study and accept responsibility to submit for publication.
تواريخ الأحداث: Date Created: 20240425 Date Completed: 20240524 Latest Revision: 20240628
رمز التحديث: 20240628
DOI: 10.1016/S2589-7500(24)00060-8
PMID: 38664108
قاعدة البيانات: MEDLINE
الوصف
تدمد:2589-7500
DOI:10.1016/S2589-7500(24)00060-8