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

Foundation Models and Their Applications in AI (57) Clinical Informatics (1444) Generative Language Models Including ChatGPT (812) Computer-Aided Diagnosis (278) Natural Language Processing (954) Clinical Information and Decision Making (2070) Diagnostic Tools in Mental Health (340) Ontologies, Classifications, and Coding (347)

Published on in Vol 4 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/75030, first published .
Aiding Large Language Models Using Clinical Scoresheets for Neurobehavioral Diagnostic Classification From Text: Algorithm Development and Validation

Aiding Large Language Models Using Clinical Scoresheets for Neurobehavioral Diagnostic Classification From Text: Algorithm Development and Validation

Aiding Large Language Models Using Clinical Scoresheets for Neurobehavioral Diagnostic Classification From Text: Algorithm Development and Validation

Authors of this article:

Kaiying Lin1 Author Orcid Image ;   Abdur Rasool2 Author Orcid Image ;   Saimourya Surabhi3 Author Orcid Image ;   Cezmi Mutlu3 Author Orcid Image ;   Haopeng Zhang2 Author Orcid Image ;   Dennis P Wall3 Author Orcid Image ;   Peter Washington4 Author Orcid Image
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Journals

  1. Yang S, Liu S, Ma Y, Gai B, Liu J, Wang L, Gao F, Zhou Z. Real-world performance of open-source large language models in diabetes diagnosis. Frontiers in Endocrinology 2026;17 View