AI-Based Diagnostic Aid for Wireless Capsule Endoscopy

Wireless Capsule Endoscopy (WCE) has the potential to become the leading screening technique for the entire gastrointestinal (GI) tract. Till date, no Artificial Intelligence (AI) based diagnostic aid has been developed to assist endoscopists in identification and classification of abnormalities post the WCE procedure. The core objective of this proposal is to deliver a first-of-its-kind, multi-platform, AI-powered, fully automated diagnostic web application for real-time detection and classification of multiple abnormalities (angioectasias, aphthae, bleeding, chylous cysts, villous oedema, lymphangiectasia, polypoids, stenosis and ulcers).