AI RESEARCH
ADAPTS: Agentic Decomposition for Automated Protocol-agnostic Tracking of Symptoms
arXiv CS.AI
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ArXi:2605.03212v2 Announce Type: new Modeling latent clinical constructs from unconstrained clinical interactions is a unique challenge in affective computing. We present ADAPTS (Agentic Decomposition for Automated Protocol-agnostic Tracking of Symptoms), a framework for automated rating of depression and anxiety severity using a mixture-of-agents LLM architecture. This approach decomposes long-form clinical interviews into symptom-specific reasoning tasks, producing auditable justifications while preserving temporal and speaker alignment.