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

Applications of AI (244) Natural Language Processing (869) Ontologies, Classifications, and Coding (309) Machine Learning (1970) mHealth in a Clinical Setting (719) Digital Biomarkers and Digital Phenotyping (263) Diagnostic Tools in Mental Health (308) Intellectual Disabilities (37) Electronic Health Records (1271) Ambient AI Scribes and AI-Driven Documentation Technologies (7)

Published on in Vol 4 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/72256, first published .
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

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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