Gastroenterology DEEP LEARNING COMPUTER-AIDED POLYP DETECTION REDUCES ADENOMA MISS RATE: A U.S. MULTI-CENTER RANDOMIZED TANDEM COLONOSCOPY STUDY (CADeT-CS Trial). September 16, 2021
Artificial Intelligence | Clinical Research | Gastroenterology Charting a Path Forward for Clinical Research in Artificial Intelligence and Gastroenterology. March 14, 2021
Gastroenterology Training a computer-aided polyp detection system to detect sessile serrated adenomas using public domain colonoscopy videos. October 12, 2020
Gastroenterology Lower Adenoma Miss Rate of Computer-aided Detection-Assisted Colonoscopy vs Routine White-Light Colonoscopy in a Prospective Tandem Study. June 20, 2020
Gastroenterology Effect of a deep-learning computer-aided detection system on adenoma detection during colonoscopy (CADe-DB trial): a double-blind randomised study. January 25, 2020
Artificial Intelligence | Gastroenterology Effectiveness of a Deep-learning Polyp Detection System in Prospectively Collected Colonoscopy Videos With Variable Bowel Preparation Quality. December 2, 2019
Gastroenterology Development and validation of a deep-learning algorithm for the detection of polyps during colonoscopy. April 24, 2019
Gastroenterology | Internal Medicine Real-time automatic detection system increases colonoscopic polyp and adenoma detection rates: a prospective randomised controlled study. February 28, 2019
Artificial Intelligence | Gastroenterology | Medical Imaging Artificial intelligence in gastrointestinal endoscopy: The future is almost here. November 14, 2018