Share:
Peer-Reviewed Publication
Gastroenterology2022;163(3):732-741.September 1, 2022Journal Article

Computer-Aided Detection Improves Adenomas per Colonoscopy for Screening and Surveillance Colonoscopy: A Randomized Trial.

Aasma Shaukat1, David R Lichtenstein2, Samuel C Somers3, Daniel C Chung4, David G Perdue5, Murali Gopal6, Daniel R Colucci6, Sloane A Phillips6, Nicholas A Marka7, Timothy R Church8, William R Brugge9,
1Division of Gastroenterology and Hepatology, Department of Medicine, New York University Grossman School of Medicine, New York, New York; Division of Environmental Health Sciences, University of Minnesota School of Public Health, Minneapolis, Minnesota. Electronic address: shaukat@umn.edu.
2Division of Gastroenterology, Department of Medicine, Boston Medical Center, Boston University School of Medicine, Boston, Massachusetts.
3Concord Hospital Gastroenterology/Concord Endoscopy Center, Concord, New Hampshire.
4Division of Gastroenterology, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts.
5MNGI Digestive Health, Minneapolis, Minnesota.
6Iterative Scopes Inc., Cambridge, Massachusetts.
7Clinical and Translational Science Institute, University of Minnesota, Minneapolis, Minnesota.
8Division of Environmental Health Sciences, University of Minnesota School of Public Health, Minneapolis, Minnesota.
9Division of Gastroenterology, Department of Medicine, Mount Auburn Hospital, Harvard Medical School, Boston, Massachusetts.

Abstract

BACKGROUND & AIMS: Colonoscopy for colorectal cancer screening is endoscopist dependent, and colonoscopy quality improvement programs aim to improve efficacy. This study evaluated the clinical benefit and safety of using a computer-aided detection (CADe) device in colonoscopy procedures. METHODS: This randomized study prospectively evaluated the use of a CADe device at 5 academic and community ce…

Create a free account to keep reading

Free members get 10 full research views every month across publications, clinical trials, FDA clearances, adverse events, and NIH grants. No credit card required.

Want unlimited research access? See Pro plans

Data Accuracy Notice: Research intelligence on Health AI Central is aggregated from public sources (PubMed, ClinicalTrials.gov, FDA, NIH, CMS, and others) and refreshed nightly. Classifications and derived metrics are produced by automated methods described in our Methodology. We recommend verifying critical data points against the primary sources before making decisions.