Automatic assessment of bowel preparation by an artificial intelligence model and its clinical applicability.
Journal:
Journal of gastroenterology and hepatology
PMID:
38766682
Abstract
BACKGROUND AND AIM: Reliable bowel preparation assessment is important in colonoscopy. However, current scoring systems are limited by laborious and time-consuming tasks and interobserver variability. We aimed to develop an artificial intelligence (AI) model to assess bowel cleanliness and evaluate its clinical applicability.