4 citations · 4 across the 7 of their papers we have counts for
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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
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…
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…
cs.AI2025★ 4 cited
An Agentic AI Workflow for Detecting Cognitive Concerns in Real-world Data
Jiazi Tian, Liqin Wang, Pedram Fard +7
Early identification of cognitive concerns is critical but often hindered by subtle symptom presentation. This study developed and validated a fully automated, multi-agent AI workf…