Clinical decision support for pharmacologic management of treatment-resistant depression with augmented large language models

Clinical decision support for pharmacologic management of treatment-resistant depression with augmented large language models

Background: We evaluated whether a large language model could assist in selecting psychopharmacological treatments for adults with treatment-resistant depression. Methods: We generated 20 clinical vignettes reflecting treatment-resistant depression among adults based on distributions drawn from elec...

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Bibliographic Details
Main Authors: Roy H. Perlis, Pilar F. Verhaak, Joseph Goldberg, Cristina Cusin, Michael Ostacher, Gin S. Malhi, Carlos A. Zarate, Richard C. Shelton, Dan V. Iosifescu, Mauricio Tohen, Manish Kumar Jha, Martha Sajatovic, Michael Berk
Format: Article
Language:English
Published: Elsevier 2025-12-01
Series:Journal of Mood and Anxiety Disorders
Subjects:
Major depression
Artificial intelligence
Machine learning
Psychopharmacology
Expert consensus
Online Access:http://www.sciencedirect.com/science/article/pii/S2950004425000392
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