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About

Sahar Shekoohi is a rising researcher at the intersection of digital health, chronic pain management, and surgical outcomes. Her work explores how telemedicine and multi-agent artificial intelligence systems can revolutionize physician-patient relationships, particularly in challenging healthcare scenarios. Her most cited paper, "Telemedicine, E-Health, and Multi-Agent Systems for Chronic Pain Management" (2023, 51 citations), establishes her as a forward-thinking voice in AI-driven healthcare delivery. Shekoohi also contributes to rare disease literature through her narrative review on Median Arcuate Ligament Syndrome (MALS, 20 citations), providing clarity on this diagnostically challenging condition characterized by celiac trunk compression. Her recent investigation into robotic urologic surgery in obese patients (2024) addresses critical physiological and anesthesia considerations for high-risk surgical populations. By bridging technological innovation with practical clinical challenges—from rare gastrointestinal disorders to obesity-related surgical complications—Shekoohi demonstrates a versatile research portfolio. Her work is particularly valuable for clinicians and researchers seeking to understand how emerging technologies can address persistent gaps in pain management and surgical care, making her a notable contributor to the evolving landscape of modern healthcare.