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Evidence record 4995 · automatically gathered

ADAPTS: Agentic Decomposition for Automated Protocol-agnostic Tracking of Symptoms

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 al

Record details

Published: 4 May 2026
Source: arXiv
Category: Research
Topics: Privacy · Healthcare · Agents & autonomy · Transparency
Retrieved: 14 July 2026

source-onlyevidence status

These records share source-supplied organisations, an exact publisher byline, automatic topics or regions. The reason is shown on every link; related does not mean supporting, agreeing with or verifying this record.

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How to cite this record

ethics.ai (4 May 2026), “ADAPTS: Agentic Decomposition for Automated Protocol-agnostic Tracking of Symptoms,” evidence record 4995, https://ethics.ai/record/4995 (originally published by arXiv).

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