Artificial Intelligence (AI) in Endoscopy - Deep Learning for Detection and Scoring of Ulcerative Colitis (UC) Disease Activity Under Multiple Scoring

Background: Computer vision & deep learning (DL) to assess & help with tissue characterization of disease activity in Ulcerative Colitis (UC) through Mayo Endoscopic Subscore (MES) show good results in central reading for clinical trials.UCEIS (Ulcerative Colitis Endoscopic Index of Severity) being a granular index, may be more reflective of disease activity & more primed for artificial intelligence (AI). We set out to create UC detection & scoring,in a single tool & graphic user interface (GUI), improving accuracy & precision of MES & UCEIS scores & reducing the time elapsed between video collection, quality assurance & final scoring.

We apply DL models to detect & filter scorable frames, assess quality of endoscopic recordings & predict MES & UCEIS scores in videos of patients with UC Methods: We leveraged > 375,000 frames from endoscopy cases using Olympus scopes (190 & 180Series).…