Aligning Large Language Models For Enhancing Psychiatric Interviews Through Symptom Delineation And Summarization: Pilot Study

Abstract

Background: Advancements in large language models (LLMs) have opened new possibilities in psychiatric interviews, an underexplored area where LLMs could be valuable. This study focuses on enhancing psychiatric interviews by analyzing counseling data from North Korean defectors who have experienced trauma and mental health issues. Objective: The study investigates whether LLMs can (1) identify pa