Analyzing patient perspectives with large language models: a cross-sectional study of sentiment and thematic classification on exception from informed consent.
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| Title: | Analyzing patient perspectives with large language models: a cross-sectional study of sentiment and thematic classification on exception from informed consent. |
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| Authors: | Kornblith AE; University of California San Francisco, San Francisco, CA, USA. Aaron.Kornblith@ucsf.edu., Singh C; University of California San Francisco, San Francisco, CA, USA.; Microsoft Research, Seattle, WA, USA., Innes JC; Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, NY, USA., Chang TP; Keck School of Medicine of University of Southern California & Children's Hospital Los Angeles, Los Angeles, CA, USA., Adelgais KM; University of Colorado School of Medicine, Aurora, CO, USA., Holsti M; Primary Children's Medical Center, University of Utah, Salt Lake City, UT, USA., Kim J; Oregon Health & Science University, Portland, OR, USA., McClain B; Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA., Nishijima DK; UC Davis School of Medicine, Sacramento, CA, USA., Rodgers S; Nationwide Children's Hospital, Columbus, OH, USA., Shah MI; Stanford University School of Medicine, Palo Alto, CA, USA., Simon HK; Emory University School of Medicine & Children's Healthcare of Atlanta, Atlanta, GA, USA., VanBuren JM; University of Utah, Salt Lake City, UT, USA., Ward CE; Children's National Hospital, The George Washington University, Washington, D.C, USA., Counts CR; University of Washington, Seattle, WA, USA. |
| Source: | Scientific reports [Sci Rep] 2025 Feb 20; Vol. 15 (1), pp. 6179. Date of Electronic Publication: 2025 Feb 20. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 2045-2322 |
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| DOI: | 10.1038/s41598-025-89996-w |
