A Multi-Agent System for Autonomous, Fine-Tuning-Free Clinical Symptom Detection: Development and Validation Study
Clinical notes contain many of the signs and symptoms that bring patients to care, yet this information rarely reaches structured fields. Existing extraction approaches either rely on context-insensitive rules that generate false positives or on supervised models that require substantial fine-tuning. We present Pythia, a multi-agent system that autonomously writes and optimizes extraction prompts for clinical concepts without manual prompt engineering or fine-tuning. Running on a locally hosted
Record details
Published: 14 July 2026
Source: arXiv cs.AI
Category: Research
Topics: Healthcare · Agents & autonomy
Retrieved: 15 July 2026
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ethics.ai (14 July 2026), “A Multi-Agent System for Autonomous, Fine-Tuning-Free Clinical Symptom Detection: Development and Validation Study,” evidence record 10454, https://ethics.ai/record/10454 (originally published by arXiv cs.AI).
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