Nasim Parsa

Nasim Parsa serves as Assistant Professor in the Gastroenterology, Hepatology, and Nutrition Division within the Department of Medicine at the University of Minnesota Medical School, focusing on AI-enhanced endoscopic diagnostics and therapeutic interventions.

Her research pioneers artificial intelligence applications in gastrointestinal endoscopy, with specialized expertise in:

• Barrett's Esophagus surveillance and dysplasia detection
• Peroral Endoscopic Myotomy (POEM) for achalasia management
• AI-human collaboration frameworks in real-time endoscopy
• Ultrasound image segmentation using self-supervised learning
• Rare esophageal conditions like lichen planus

Analysis of her 47 publications (2017-2026) reveals escalating research momentum, with recent work (2025-2026) concentrating on clinical AI integration for Barrett's Esophagus, human-AI interaction paradigms, and advanced imaging techniques across gastrointestinal endoscopy.

Dr. Parsa maintains active international collaborations reflected in co-authorship networks spanning multiple continents, with research output including 29 articles, 8 reviews, and 5 commentaries. Her work contributes to UN Sustainable Development Goals through AI-driven healthcare innovation.