From statistics to deep learning: Using large language models in psychiatric research

Abstract Background Large Language Models (LLMs) hold promise in enhancing psychiatric research efficiency. However, concerns related to bias, computational demands, data privacy, and the reliability of LLM‐generated content pose challenges. Gap Existing studies primarily focus on the clinical appli...

Full description

Bibliographic Details

Published in:	International Journal of Methods in Psychiatric Research
Main Authors:	Yining Hua, Andrew Beam, Lori B. Chibnik, John Torous
Format:	Article
Language:	English
Published:	Wiley 2025-03-01
Subjects:	artificial intelligence clinical psychiatry large language models machine learning psychiatric epidemiology psychiatry
Online Access:	https://doi.org/10.1002/mpr.70007