Evaluating Open-Weight Large Language Models for Structured Depression Assessment from Clinical Interviews

The administration of semi-structured clinical interviews for depression assessment is resource-intensive and susceptible to rater drift. While large language models (LLMs) offer potential for automated quality assurance, reliance on proprietary models creates data privacy barriers incompatible with