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

Foundation Models and Their Applications in AI (49) Clinical Informatics (1287) Generative Language Models Including ChatGPT (660) Computer-Aided Diagnosis (239) Natural Language Processing (887) Clinical Information and Decision Making (1862) Diagnostic Tools in Mental Health (317) Ontologies, Classifications, and Coding (318)

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
Article Authors Cited by Tweetations Metrics

Kaiying Lin   1 , PhD ;   Abdur Rasool   2 , PhD ;   Saimourya Surabhi   3 , PhD ;   Cezmi Mutlu   3 , PhD ;   Haopeng Zhang   2 , PhD ;   Dennis P Wall   3 , PhD ;   Peter Washington   4 , PhD

1 Institute of Linguistics, Academia Sinica, Taipei, Taiwan

2 University of Hawaiʻi at Mānoa, Honolulu, HI, United States

3 Stanford University, Stanford, CA, United States

4 University of California, San Francisco, San Francisco, United States

Corresponding Author: