Generative-AI-Based Approaches for Information Extraction from Clinical Notes: A Scoping Review.

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Bibliographic Details
Title: Generative-AI-Based Approaches for Information Extraction from Clinical Notes: A Scoping Review.
Authors: Abdellaoui C; Sorbonne Université, INSERM, Université Sorbonne Paris Nord, LIMICS, Paris, France., Redjdal A; Univ Gustave Eiffel, Aix-Marseille Univ, LBA, F-13016 Marseille, France., Seroussi B; Sorbonne Université, INSERM, Université Sorbonne Paris Nord, LIMICS, Paris, France.; AP-HP, Tenon Hospital, Public Health Department, Paris, France.
Source: Studies in health technology and informatics [Stud Health Technol Inform] 2025 Jun 26; Vol. 328, pp. 193-197.
Publication Type: Journal Article; Scoping Review
Journal Info: Publisher: IOS Press Country of Publication: Netherlands NLM ID: 9214582 Publication Model: Print Cited Medium: Internet ISSN: 1879-8365 (Electronic) Linking ISSN: 09269630 NLM ISO Abbreviation: Stud Health Technol Inform Subsets: MEDLINE
Database: MEDLINE Ultimate
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