AI analysis of colonoscopy improves assessment of Crohn’s disease
In a new study, artificial intelligence matched and potentially exceeded the performance of gastroenterologists and conventional scoring in evaluating endoscopies of Crohn’s disease patients. The results, published in Clinical Gastroenterology and Hepatology, show a computer vision model identified mucosal ulceration as accurately as physician reviewing videos, while also being strongly correlated with the most common […]