Leveraging large language models for structured information extraction from pathology reports.
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| Title: | Leveraging large language models for structured information extraction from pathology reports. |
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| Authors: | Balasubramanian JB; Division of Cancer Epidemiology and Genetics, National Cancer Institute, 9609 Medical Center Dr, NCI Shady Grove, Room 7E554, Rockville, MD 20850, USA., Adams D; The Cancer Epidemiology and Prevention Research Unit, The Institute of Cancer Research, London and Imperial College London, London, UK.; Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK., Roxanis I; The Breast Cancer Now Toby Robins Research Centre, The Institute of Cancer Research, London, UK., de Gonzalez AB; The Cancer Epidemiology and Prevention Research Unit, The Institute of Cancer Research, London and Imperial College London, London, UK.; Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK., Coulson P; Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK., Almeida JS; Division of Cancer Epidemiology and Genetics, National Cancer Institute, 9609 Medical Center Dr, NCI Shady Grove, Room 7E554, Rockville, MD 20850, USA., García-Closas M; The Cancer Epidemiology and Prevention Research Unit, The Institute of Cancer Research, London and Imperial College London, London, UK.; Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK. |
| Source: | Journal of pathology informatics [J Pathol Inform] 2025 Oct 10; Vol. 19, pp. 100521. Date of Electronic Publication: 2025 Oct 10 (Print Publication: 2025). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Elsevier Inc Country of Publication: United States NLM ID: 101528849 Publication Model: eCollection Cited Medium: Print ISSN: 2229-5089 (Print) NLM ISO Abbreviation: J Pathol Inform Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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