Our #ML4H2025 paper presents an LLM-based multi-agent system for assessing depression from clinical interviews. It combines four collaborative agents, iterative self-refinement, and few-shot prompting, achieving human-level performance.
Our #ML4H2025 paper presents an LLM-based multi-agent system for assessing depression from clinical interviews. It combines four collaborative agents, iterative self-refinement, and few-shot prompting, achieving human-level performance.