According to Leufkens et al. (2012), typical colonoscopy screenings miss 22% - 28% of polyps and 20% - 24% of adenomas. Using machine learning, the live 2D image from colonoscopy can be reconstructed into a 3D model of the large intestine, which highlights segments that require additional coverage.