clinical symptom extraction 1local model deployment 1multi-agent system 1prompt optimization 1zero-shot learning 1
From the 1 of 7 linked papers with an AI index.
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cs.AI2026
A Multi-Agent System for Autonomous, Fine-Tuning-Free Clinical Symptom Detection: Development and Validation Study
Cameron Cagan, Pedram Fard, Jiazi Tian +3
The paper introduces Pythia, a multi‑agent system that automatically writes and optimizes prompts to extract clinical signs and symptoms from notes without fine‑tuning, and demonst…
cs.AI2026
Optimization Instability in Autonomous Agentic Workflows for Clinical Symptom Detection
Cameron Cagan, Pedram Fard, Jiazi Tian +3
Autonomous agentic workflows that iteratively refine their own behavior hold considerable promise, yet their failure modes remain poorly characterized. We investigate optimization…
cs.AI2025
An N-of-1 Artificial Intelligence Ecosystem for Precision Medicine
Pedram Fard, Alaleh Azhir, Neguine Rezaii +2
Artificial intelligence in medicine is built to serve the average patient. By minimizing error across large datasets, most systems deliver strong aggregate accuracy yet falter at t…