Accuracy of artificial intelligence on histology prediction and detection of colorectal polyps

Post written by Wai K. Leung, MD, from the Department of Medicine, Queen Mary Hospital, University of Hong Kong, Hong Kong. This study reviewed and summarized the latest data on the use of artificial intelligence on histology prediction and detection of colorectal polyps. With the rapid development and increasing application of artificial intelligence (AI) in …

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Automatic detection and classification of protruding lesions in wireless capsule endoscopy images

Post written by Hiroaki Saito, MD, from the Department of Gastroenterology, Sendai Kousei Hospital, Miyagi, Japan. We constructed artificial intelligence to detect protruding lesions of the small bowel in wireless capsule endoscopy images and validated its ability. The results show that the system is able to analyze large amounts of images quickly and accurately. Small …

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A novel artificial intelligence system for the assessment of bowel preparation

Post written by Honggang Yu, MD, from the Department of Gastroenterology, Renmin Hospital of Wuhan University, the Key Laboratory of Hubei Province for Digestive System Disease, Renmin Hospital of Wuhan University, and the Hubei Provincial Clinical Research Center for Digestive Disease Minimally Invasive Incision, Renmin Hospital of Wuhan University, Wuhan, China. The current study retrospectively …

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Quality assurance of computer-aided detection and diagnosis in colonoscopy

Post written by Daniela Guerrero Vinsard, MD, and Yuichi Mori, MD, PhD, from the Showa University International Center for Endoscopy and Digestive Disease Center, Showa University Northern Yokohama Hospital, Yokohama, Japan, and the Division of Internal Medicine, University of Connecticut Health Center, Farmington, Connecticut, USA. Artificial Intelligence (AI) in gastrointestinal endoscopy entails the construction of …

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Simultaneous detection and characterization of diminutive polyps with the use of AI

Post written by Yuichi Mori, MD, PhD, from the Digestive Disease Center, Showa University Northern Yokohama Hospital, Yokohama, Japan. We present a novel computer-aided system that enables automated polyp detection followed by immediate polyp characterization in a real-time fashion using an endocytoscope, a colonoscope with a function of 520-fold endomicroscopy (CF-H290ECI; Olympus Corp., Tokyo, Japan). …

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