Post written by Vinay Jahagirdar, MD, from the Department of Internal Medicine, University of Missouri Kansas City School of Medicine, Kansas City, Missouri, USA. The focus of our study was to assess the pooled diagnostic accuracy parameters of deep machine learning by means of convolutional neural network (CNN) algorithms in predicting the severity of ulcerative colitis …
Tag: Artificial intelligence
Deploying automated machine learning for computer vision projects: a brief introduction for endoscopists
Post written by Neal Mahajan, ScB, from the Division of Gastroenterology, Beth Israel Deaconess Medical Center, Boston, Massachusetts, and Indiana University School of Medicine, Indianapolis, Indiana, USA. Our team has worked for several years on the use of machine learning (ML) in endoscopy and helped validate its additive effect in the endoscopy suite. We have noticed …
Editor’s Choice: Computer-aided characterization of early cancer in Barrett’s esophagus on i-scan magnification imaging: a multicenter international study
GIE Associate Editor Seiichiro Abe, MD, PhD, FASGE, FJGES, highlights this article from the April issue: “Computer-aided characterization of early cancer in Barrett’s esophagus on i-scan magnification imaging: a multicenter international study” by Mohamed Hussein, MRCP, et al. Magnifying virtual chromoendoscopy is helpful in differentiating between dysplastic and nondysplastic lesions in patients with Barrett’s esophagus (BE), …
Artificial intelligence for detecting and delineating the extent of superficial esophageal squamous cell carcinoma and precancerous lesions under narrow-band imaging (with video)
Post written by Bing Hu, MD, from the Department of Gastroenterology, West China Hospital, Sichuan University, Chengdu, Sichuan, China. The focus of this study was to train an artificial intelligence (AI) system that could detect and delineate the extent of superficial esophageal squamous cell carcinoma (ESCC) and precancerous lesions under nonmagnified narrow-band imaging (NBI) and to …
Computer-aided characterization of early cancer in Barrett’s esophagus on i-scan magnification imaging: a multicenter international study
Post written by Mohamed Hussein, MRCP, from the Department of Gastroenterology, Guy’s and St Thomas’ NHS Foundation Trust, London, United Kingdom. We aimed to develop a computer-aided characterization system that could support the diagnosis of dysplasia in Barrett’s esophagus on magnification endoscopy. We also strived to assess the speeds of the networks in making this …
Editor’s Choice: Identification of patients with malignant biliary strictures using a cholangioscopy-based deep learning artificial intelligence (with video)
GIE Senior Associate Editor David L. Diehl, MD, highlights this article from the February issue: “Identification of patients with malignant biliary strictures using a cholangioscopy-based deep learning artificial intelligence (with video)” by Neil B. Marya, MD, et al. The assessment of indefinite biliary strictures is difficult because results of intraductal biopsy and cytologic brushing can be inconclusive. It …
Artificial intelligence for disease diagnosis: the criterion standard challenge
Post written by Yuichi Mori, MD, PhD, from the Clinical Effectiveness Research Group, University of Oslo, and the Department of Transplantation Medicine, Oslo University Hospital, Oslo, Norway, and the Digestive Disease Center, Showa University Northern Yokohama Hospital, Yokohama, Japan. The primary aim of this study was to focus attention on the major challenges that computer-aided …
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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 …
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 …
Continue reading New concept for colonoscopy including side optics and artificial intelligence
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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