Evaluating the reliability of large language models for clinical data extraction in bladder cancer prognosis.
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| Title: | Evaluating the reliability of large language models for clinical data extraction in bladder cancer prognosis. |
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| Authors: | Sun D; Department of Radiology, University of Michigan, Ann Arbor, MI, USA. disun@umich.edu., Hadjiiski L; Department of Radiology, University of Michigan, Ann Arbor, MI, USA., Bruno G; Department of Radiology, University of Michigan, Ann Arbor, MI, USA., Gormley J; Department of Radiology, University of Michigan, Ann Arbor, MI, USA., Chan HP; Department of Radiology, University of Michigan, Ann Arbor, MI, USA., Caoili EM; Department of Radiology, University of Michigan, Ann Arbor, MI, USA., Cohan RH; Department of Radiology, University of Michigan, Ann Arbor, MI, USA., Alva A; Department of Internal Medicine-Hematology/Oncology, University of Michigan, Ann Arbor, MI, USA., Mihalcea R; Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI, USA., Zhou C; Department of Radiology, University of Michigan, Ann Arbor, MI, USA., Gulani V; Department of Radiology, University of Michigan, Ann Arbor, MI, USA. |
| Source: | Scientific reports [Sci Rep] 2025 Nov 21; Vol. 15 (1), pp. 43773. Date of Electronic Publication: 2025 Nov 21. |
| 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/s41598-025-27593-7 |
