Faculty

Nayantara Coelho-Prabhu, M.B.B.S.

Clinical Studies

Understanding Patients’ Current Acceptability of Artificial Intelligence and Machine Learning During Colonoscopy for Polyp Detection: A Single Center Study Rochester, Minn.
The purpose of this study is to understand and assess patients’ current acceptability of machine learning/AI during colonoscopy for polyp detection.Our secondary aims are to determine what factors influence patients’ responses and to determine the various thresholds in adenoma detection rate (ADR) that would be acceptable to patients.

Minimal Risk Registry of Endoscopic Image and Pathology Correlation Using Fujifilm 7000 Imaging System with 4-LED Multi Light Technology Jacksonville, Fla., Rochester, Minn.
The purpose of this study is to see if advanced endoscopic imaging may be helpful to accurately distinguish pathological tissue from normal tissue and guide therapy of endoscopically identified pathology.
Study CDX 960P: Surveillance of Colorectal Dysplasia in Inflammatory Bowel Disease with WATS (Wide Area Transepithelial Sample with 3-Dimensional Computer-Assisted Analysis): A Proof of Principle Study (CDx WATS) Rochester, Minn.
The purpose of this study is to determine if WATS 3D (The Wide Area Transepithelial Sample with three dimension analysis) can be used to adequately sample the colon and identify dysplasia in patients with Irritable Bowel Disease (IBD) undergoing surveillance.