Correlation of the detection rate of upper GI cancer with artificial intelligence score: results from a multicenter trial (with video)

Post written by Shi Wang, MD, from the Department of Endoscopy, The Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Institute of Basic Medicine and Cancer (IBMC), Chinese Academy of Sciences, Hangzhou, China. The quality of EGD is a prerequisite for a high detection rate of upper GI lesions, especially …

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New concept for colonoscopy including side optics and artificial intelligence

Post written by Joel Troya, MSc, from Interventional and Experimental Endoscopy (InExEn), Internal Medicine II, University Hospital Würzburg, Würzburg, Germany. The combination of artificial intelligence (AI) and side optics might help detect adenomas that otherwise could be missed. Several studies have demonstrated that the adenoma detection rate is the critical parameter for reducing the incidence …

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Real-time use of artificial intelligence for diagnosing early gastric cancer by magnifying image-enhanced endoscopy: a multicenter diagnostic study (with videos)

Post written by Honggang Yu, MD, from the Department of Gastroenterology, Key Laboratory of Hubei Province for Digestive System Disease, and Hubei Provincial Clinical Research Center for Digestive Disease Minimally Invasive Incision, Renmin Hospital of Wuhan University, Wuhan, China. In this study, we used deep learning models to develop an artificial intelligence system called ENDOANGEL-ME …

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Artificial intelligence for the assessment of bowel preparation

Post written by Ji Young Lee, MD, PhD, from the Health Screening and Promotion Center, Asan Medical Center, College of Medicine, University of Ulsan, Seoul, South Korea. This study demonstrated objective assessment of bowel preparation adequacy using an artificial intelligence (AI)/convolutional neural network algorithm developed from colonoscopy videos. An adequate bowel preparation impacts quality indicators …

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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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