AI-assisted CT analysis for bowel preparation assessment and colorectal polyp detection, segmentation & measurement.
Many colorectal cancers develop through a polyp → dysplasia → cancer pathway, creating a window for earlier detection.
Small and flat lesions are difficult to identify. Bowel preparation, distension and CT image characteristics can further obscure lesions.
Radiologists review large volumes of imaging. AI can provide standardized visual assistance within existing CT workflows.
ColonView™ supports clinicians with consistent, interpretable CT-based assessment — using already-acquired CT images, without an additional imaging procedure.
Is this colon ready to read — and what's in it?
ColonView™ turns a routine CT scan into structured, reviewable colorectal imaging information: automated bowel-preparation scoring, polyp detection with visual localization, and lesion measurement — in the radiologist's existing workflow.
Indian Patent No. 586511 — “AI-Based System for Analysis of Medical Images”
Design Registration No. 425961-001
Development supported by V.G. Saraf Memorial Hospital and Malabar Cancer Centre
Startup India registered · Udyam registered
We're bringing ColonView™ to the Innovation Leaders Summit 2026 (Tokyo, Nov 30 – Dec 3) and are looking for Japanese hospitals, imaging companies, research institutions and investors for structured PoC collaborations.
A live demonstration of the tool interface is available on request; validation datasets and detailed performance results are shared under NDA.