AI assisted Gastrointestinal Endoscopy

Computer-assisted detection (CADe) using Computer Vision

AI-assisted Endoscopy [computer-assisted detection (CADe)] utilizes Skyl computer vision techniques (using the most advanced, deep learning ML algorithms) that can identify Gastrointestinal landmarks or features, and detect Gastrointestinal diseases from endoscopic scans (video frames), which would otherwise be a tedious and time-consuming task. AI lessens the burden of endoscopists, enhances the quality level of endoscopists, prevents the overlooking of lesions and assists them in making the right diagnosis.

Try the Inference API


( Select an image and click on predict )

Computer Vision