Validating large language model-assisted data extraction from clinical notes.

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Bibliographic Details
Title: Validating large language model-assisted data extraction from clinical notes.
Authors: van Koevorden JW; Department of Head and Neck Surgery, Antoni van Leeuwenhoek-Netherlands Cancer Institute, Amsterdam, the Netherlands.; Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, the Netherlands., Aben N; Kaiko.ai, Amsterdam, the Netherlands., Struben V; Kaiko.ai, Amsterdam, the Netherlands., Rollings A; Kaiko.ai, Amsterdam, the Netherlands., Kurban M; Kaiko.ai, Amsterdam, the Netherlands., Wessels L; Department of Molecular Carcinogenesis, Antoni van Leeuwenhoek-Netherlands Cancer Institute, Amsterdam, the Netherlands., van der Noort V; Department of Biometrics, Antoni van Leeuwenhoek-Netherlands Cancer Institute, Amsterdam, the Netherlands., Burger AVM; Department of Head and Neck Surgery, Antoni van Leeuwenhoek-Netherlands Cancer Institute, Amsterdam, the Netherlands., van Dijk SW; Department of Head and Neck Surgery, Antoni van Leeuwenhoek-Netherlands Cancer Institute, Amsterdam, the Netherlands., Karssemakers L; Department of Head and Neck Surgery, Antoni van Leeuwenhoek-Netherlands Cancer Institute, Amsterdam, the Netherlands., Smeele L; Department of Head and Neck Surgery, Antoni van Leeuwenhoek-Netherlands Cancer Institute, Amsterdam, the Netherlands., Wouters MWJM; Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, the Netherlands.; Department of Surgical Oncology, Antoni van Leeuwenhoek-Netherlands Cancer Institute, Amsterdam, the Netherlands.; Dutch Institute for Clinical Auditing, Leiden, the Netherlands., Dirven R; Department of Head and Neck Surgery, Antoni van Leeuwenhoek-Netherlands Cancer Institute, Amsterdam, the Netherlands.; Department of Otorhinolaryngology and Head and Neck Surgery, Radboud University Medical Center, Nijmegen, the Netherlands.
Source: ESMO real world data and digital oncology [ESMO Real World Data Digit Oncol] 2026 May 12; Vol. 12, pp. 100718. Date of Electronic Publication: 2026 May 12 (Print Publication: 2026).
Publication Type: Journal Article
Journal Info: Publisher: Elsevier Ltd Country of Publication: England NLM ID: 9919053637506676 Publication Model: eCollection Cited Medium: Internet ISSN: 2949-8201 (Electronic) Linking ISSN: 29498201 NLM ISO Abbreviation: ESMO Real World Data Digit Oncol Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2949-8201
DOI:10.1016/j.esmorw.2026.100718