Endoscope vision enhancing ease for endoscopists and comfort for patients

This project aims to develop an AI-guided vision module for endoscopes to assist in real-time navigation, anomaly detection, and surgical procedures within the digestive tract. Traditional endoscopy is labor-intensive and prone to patient discomfort, diagnostic errors, and endoscopist fatigue. Our system uses artificial intelligence to identify landmarks, anomalies, and surgical tools during endoscopy, helping guide smoother and safer procedures. It improves diagnosis accuracy, reduces injury risk, and supports endoscopists with real-time insights. This research will be conducted in collaboration with medical institutions in Bangladesh and will build on our previous study in polyp detection and anatomical landmark recognition.