Log in to MyKarger to check if you already have access to this content. Buy a Karger Article Bundle (KAB) and profit from a discount! If you would like to redeem your KAB credit, please log in. Background: Artificial intelligence systems recently demonstrated an increase in polyp- and adenoma detection rate. Over the daytime the adenoma detection rate decreases as tiredness leads to a lack of attention.

Laird Harrison writes about science, health and culture. His work has appeared in national magazines, in newspapers, on public radio and on websites. He is at work on a novel about alternate realities in physics. Harrison teaches writing at the Writers Grotto.

The addition of real-time computer-aided detection in colonoscopy significantly increased the adenoma detection rate and adenomas detected per colonoscopy in colorectal cancer screening, according to a presentation at ESGE Days. "[An] expert endoscopist can benefit from the artificial intelligence, increasing the detection," Alessandro Repici, MD, professor of gastroenterology, director of digestive endoscopy unit at Humanitas Research Hospital in Rozzano, Italy, said during his presentation. "This benefit is prevalent when adhered by the expert endoscopist including an interference between the [computer-aided detection (CAD-e)] and the level of experience of the operator." At five European centers, Repici and colleagues assessed 660 patients who underwent screening colonoscopies for CRC, post-polypectomy surveillance, or workup due to positive results from a fecal immunochemical test or signs or symptoms of CRC. Investigators randomly assigned patients to either high-definition colonoscopies with real-time computer-aided detection (CAD-e group) or without (control group). A minimum withdrawal time of 6 minutes was needed. Adenoma detection rate served as the primary outcome. Other outcomes included adenomas detected per colonoscopy and withdrawal time. The adenoma detection rate in the CAD-e group (53.3%) was significantly higher compared with the control group (44.2%;

William Karnes, MD, is director of the high-risk program and colonoscopy quality at the UCI Health H.H. Chao Comprehensive Digestive Disease Center in Orange, Calif., and chief medical officer of Docbot, a technology that uses artificial intelligence to detect abnormalities from colonoscopy capsule video. Here, Dr. Karnes shares his thoughts with Becker's ASC Review on the future of AI in the gastroenterology specialty, and how the technology could help patients and physicians. Question: Can you tell me a little more about the Docbot technology and how you got involved? Dr. William Karnes: The story goes back to 2012 when I came to UCI and Dr. Chan brought me on to wipe out colon cancer in Orange County. It was a three-pronged approach but one of the most important ones.