Article

Testing the Utility of Using Large Language Models to Create Personalized Networks From Therapy Session Transcripts: A Proof of Concept Study

2026-07-15

Abstract excerpt

<p>Recent advances in psychotherapy have focused on treatment personalization, such as by selecting treatment modules based on individual networks. However, estimating personalized networks typically requires intensive longitudinal data, which is not always feasible to collect. A solution to increase scalability of network-driven treatment personalization is leveraging large language models (LLMs). In this study,...

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Literature Corpus work: 781a97e9-4f84-5fc2-a201-158a1334d77f
DOI: 10.31234/osf.io/n8a6r_v1

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