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This paper is in the following e-collection/theme issue:

Applications of AI (1154) Natural Language Processing (1365) mHealth in a Clinical Setting (1250) Electronic Health Records (1819) Ontologies, Classifications, and Coding (484) Diagnostic Tools in Mental Health (465) Machine Learning (3406) Digital Biomarkers and Digital Phenotyping (485) Intellectual Disabilities (56) Ambient AI Scribes and AI-Driven Documentation Technologies (119)

Published on in Vol 4 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/72256, first published .
Doctor and patient consulting in a medical office, discussing health.

Large Language Model–Supported Identification of Intellectual Disabilities in Clinical Free-Text Summaries: Mixed Methods Study

Large Language Model–Supported Identification of Intellectual Disabilities in Clinical Free-Text Summaries: Mixed Methods Study

Authors of this article:

Aleksandra Edwards1 Author Orcid Image ;   Antonio F Pardiñas2 Author Orcid Image ;   George Kirov2 Author Orcid Image ;   Elliott Rees2 Author Orcid Image ;   Jose Camacho-Collados1 Author Orcid Image
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