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

Foundation Models and Their Applications in AI (62) Digital Mental Health Interventions, e-Mental Health and Cyberpsychology (2313) New Methods (1192) Diagnostic Tools in Mental Health (344) Computer-Aided Diagnosis (281) Generative Language Models Including ChatGPT (859)

Published on in Vol 4 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/67369, first published .
Algorithmic Classification of Psychiatric Disorder–Related Spontaneous Communication Using Large Language Model Embeddings: Algorithm Development and Validation

Algorithmic Classification of Psychiatric Disorder–Related Spontaneous Communication Using Large Language Model Embeddings: Algorithm Development and Validation

Algorithmic Classification of Psychiatric Disorder–Related Spontaneous Communication Using Large Language Model Embeddings: Algorithm Development and Validation

Authors of this article:

Ryan Allen Shewcraft1 Author Orcid Image ;   John Schwarz1 Author Orcid Image ;   Mariann Micsinai Balan1 Author Orcid Image
Article Authors Cited by (2) Tweetations Metrics

Journals

  1. Voultsiou E, Moussiades L. A Systematic Review of Large Language Models in Mental Health: Opportunities, Challenges, and Future Directions. Electronics 2026;15(3):524 View
  2. Mohammad S, Kadaei F, Mohkam M. Machine learning approaches to identifying neurodevelopmental disorders using social media data: a systematic review. International Journal of Medical Informatics 2026;213:106378 View