Applications of large language models in depression treatment: a systematic review
DOI:
https://doi.org/10.59681/2175-4411.v16.iEspecial.2024.1318Keywords:
Mental Health, Depression, Large Language ModelsAbstract
Objective: This study reviews the use of Large Language Models (LLMs) in the field of mental health, specifically focusing on the treatment of depression. Method: A total of 18 articles out of an initial 121 were analyzed, exploring how LLMs assist in clinical decision- making and interaction between mental health professionals and depressed patients. Results: The main findings show that LLMs can increase accuracy in detecting symptoms and enhance therapeutic interventions through advanced conversational interfaces. Conclusion: The summary highlights gaps in existing research and emphasizes the study's contribution to a better understanding of the applicability of LLMs in clinical contexts.
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