Using GPT-4o to interpret patient-reported outcomes without training.

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Bibliographic Details
Title: Using GPT-4o to interpret patient-reported outcomes without training.
Authors: Atkinson TM; Department of Psychiatry and Behavioral Sciences, Memorial Sloan Kettering Cancer Center, New York, NY 10065, United States., Petrov A; Department of Digital Informatics & Technology Solutions, Memorial Sloan Kettering Cancer Center, New York, NY 10065, United States., Lynch KA; Department of Psychiatry and Behavioral Sciences, Memorial Sloan Kettering Cancer Center, New York, NY 10065, United States.; School of Global Public Health, New York University, New York, NY 10003, United States., George LS; Institute for Health, Health Care Policy, and Aging Research, Rutgers University, New Brunswick, NJ 08901, United States., Cracchiolo JR; Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY 10065, United States., Daly B; Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY 10065, United States., Fessele KL; Department of Nursing, Memorial Sloan Kettering Cancer Center, New York, NY 10065, United States., Flory JH; Endocrinology Service, Department of Subspecialty Medicine, Memorial Sloan Kettering Cancer Center, New York, NY 10065, United States., Mao JJ; Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY 10065, United States., Li Y; Department of Psychiatry and Behavioral Sciences, Memorial Sloan Kettering Cancer Center, New York, NY 10065, United States.; Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY 10065, United States.
Source: Journal of the National Cancer Institute [J Natl Cancer Inst] 2025 Apr 01; Vol. 117 (4), pp. 809-811.
Publication Type: Journal Article
Journal Info: Publisher: Oxford University Press Country of Publication: United States NLM ID: 7503089 Publication Model: Print Cited Medium: Internet ISSN: 1460-2105 (Electronic) Linking ISSN: 00278874 NLM ISO Abbreviation: J Natl Cancer Inst Subsets: MEDLINE; In Process
Database: MEDLINE Ultimate
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ISSN:1460-2105
DOI:10.1093/jnci/djaf016