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

Foundation Models and Their Applications in AI (39) New Methods (1048) Generative Language Models Including ChatGPT (543) Digital Mental Health Interventions, e-Mental Health and Cyberpsychology (1877) Computer-Aided Diagnosis (191) Diagnostic Tools in Mental Health (286)

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
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Ryan Allen Shewcraft   1 , PhD ;   John Schwarz   1 , PhD ;   Mariann Micsinai Balan   1 , PhD

1 Department of Global Biometrics & Data Sciences, Bristol Myers Squibb, Lawrence Township, NY, United States

Corresponding Author:

  • Ryan Allen Shewcraft, PhD
  • Department of Global Biometrics & Data Sciences
  • Bristol Myers Squibb
  • 3551 Lawrenceville Rd
  • Lawrence Township, NY 08648
  • United States
  • Phone: 1 800-332-2056
  • Email: ryan.shewcraft@bms.com