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.
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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  Data: <searchLink fieldCode="AU" term="%22Balasubramanian+JB%22">Balasubramanian JB</searchLink>; Division of Cancer Epidemiology and Genetics, National Cancer Institute, 9609 Medical Center Dr, NCI Shady Grove, Room 7E554, Rockville, MD 20850, USA.<br /><searchLink fieldCode="AU" term="%22Adams+D%22">Adams D</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Roxanis+I%22">Roxanis I</searchLink>; The Breast Cancer Now Toby Robins Research Centre, The Institute of Cancer Research, London, UK.<br /><searchLink fieldCode="AU" term="%22de+Gonzalez+AB%22">de Gonzalez AB</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Coulson+P%22">Coulson P</searchLink>; Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK.<br /><searchLink fieldCode="AU" term="%22Almeida+JS%22">Almeida JS</searchLink>; Division of Cancer Epidemiology and Genetics, National Cancer Institute, 9609 Medical Center Dr, NCI Shady Grove, Room 7E554, Rockville, MD 20850, USA.<br /><searchLink fieldCode="AU" term="%22García-Closas+M%22">García-Closas M</searchLink>; 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.
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              Text: 2025 Oct 10
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