The arrival of CADe-IBD and the departure of IBD blues: Prospective evaluation of a novel computer aided detection algorithm for detection of neoplasia in patients with Inflammatory Bowel Disease.

This article discusses the use of Artificial Intelligence (AI) in endoscopy for the detection of neoplasia in patients with inflammatory bowel disease (IBD). The study evaluated the efficacy of a novel Computer Aided Detection (CADe) algorithm called CADe-IBD. The algorithm was used in conjunction with standard care during colonoscopies, and its effectiveness was assessed by comparing its results to those of expert endoscopists. The CADe-IBD algorithm demonstrated a high sensitivity for lesion detection, with a low miss rate for true neoplasia. The findings suggest that CADe-IBD has the potential to replace current chromoendoscopy-based surveillance practices. [Extracted from the article]