Machine Learning Based Tools to Assess Ulcerative Colitis Severity
Ulcerative colitis (UC) is the most prevalent form of inflammatory bowel disease (IBD) and is associated with decreased quality of life and extensive morbidity. The current diagnosis and treatment of UC is costly and labour intensive, with a variety of methods used to assess disease severity. Image-based machine learning techniques can help to automate the scoring of UC severity by quantifying the distribution of inflammatory cells and assigning research-standard scoring indices. The AIM team has developed multiple tools that will help pathologists and gastroenterologists better diagnose and treat their patients with UC.