Post written by Chae Min Michelle Lee, MD, MEng, from the Division of Gastroenterology and Hepatology, Department of Medicine, University Health Network, and Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada. Numerous trials have been conducted to examine the role of artificial intelligence (AI) assistance in polyp detection during colonoscopy. Available AI detection tools rely …
Tag: Artificial intelligence
Validation of a new optical diagnosis training module to improve dysplasia characterization in inflammatory bowel disease: a multicenter international study
Post written by Marietta Iacucci, MD, PhD, FASGE, AGAF, from APC Microbiome Ireland, College of Medicine and Health, University College of Cork, Cork, Ireland. Patients with long-standing inflammatory bowel disease (IBD) have an increased risk of dysplastic lesions. Therefore, consensus and guidelines recommend performing regular surveillance colonoscopy using dye or virtual chromoendoscopy to enhance lesion identification …
Deep learning–based lesion detection and severity grading of small-bowel Crohn’s disease ulcers on double-balloon endoscopy images
Post written by Wanqing Xie, PhD, from the Department of Intelligent Medical Engineering, School of Biomedical Engineering, Anhui Medical University, Hefei, China, and Beth Israel Deaconess Medical Center, Harvard Medical School, Harvard University, Boston, Massachusetts, USA. We studied the lesion classification of small-bowel Crohn’s disease (CD) and ulcer severity grading in terms of depth, size, and …
Enhanced accuracy for classification of video capsule endoscopy images using multiple deep learning convolutional neural networks
Post written by David R. Cave, MD, PhD, from Brigham and Women’s Hospital, Boston, Massachusetts, USA. Video capsule endoscopy was first introduced in 2001. A major inhibitor to its widespread use has been that reading the output video takes significant time. The advent of artificial intelligence (AI) provides an opportunity to help the reader decrease time …
Artificial intelligence–assisted real-time monitoring of effective withdrawal time during colonoscopy: a novel quality marker of colonoscopy
Post written by Wai K. Leung, MD, from the University of Hong Kong, Hong Kong, China. In this study, we developed a novel artificial intelligence (AI)-based quantitative measurement for effective withdrawal time (EWT) during colonoscopy. This measurement also takes into consideration the quality of the images obtained during colonoscope withdrawal. Standard withdrawal time, a simple measurement …
ChatGPT for advice on common GI endoscopic procedures: the promise and the peril
Post written by Daniel Yan Zheng Lim, MRCP, MTech, from Duke-NUS Medical School, Department of Gastroenterology and Hepatology, Singapore General Hospital, and Data Science and Artificial Intelligence Laboratory, Singapore General Hospital, Singapore. This study examines the ability of ChatGPT to answer common questions about endoscopic procedures that patients might pose. ChatGPT is an advanced artificial intelligence …
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Safety and performance evaluation of the automated helical suturing system as compared with the manual suturing platform in endoscopic sleeve gastroplasty in a porcine model
Post written by Steven E. Shamah, MD, from the Gastroenterology and Hepatology Division, Emek Hospital, Afula, Israel. The focus of our study was to evaluate the safety and efficacy of a novel suturing device that uses robotics and artificial intelligence to perform endoscopic suturing. Most endoscopic suturing devices have a steep learning curve. By introduction of …
What we need to do to integrate artificial intelligence into GI endoscopy
Post written by Michael B. Wallace, MD, MPH, from Mayo Clinic, Division of Gastroenterology and Hepatology, Sheikh Shakhbout Medical City, Abu Dhabi, United Arab Emirates, and Mayo Clinic Florida, Jacksonville, Florida, USA. This Top Tips article was timely given the rapid expansion of artificial intelligence (AI) tools that are applicable to GI and medicine in …
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Artificial intelligence–assisted colonoscopy for adenoma and polyp detection: an updated systematic review and meta-analysis
Post written by Mohamed Shiha, MRCP, from the Academic Unit of Gastroenterology, Sheffield Teaching Hospitals, Sheffield, UK. Adenoma detection rate (ADR) is the main quality indicator for the effectiveness of colonoscopy in preventing colorectal cancer. However, it is estimated that 1 in 4 adenomas are missed during colonoscopy. Recently, advances in artificial intelligence (AI) have enabled …
Usefulness of artificial intelligence–assisted digital single-operator cholangioscopy as a second-opinion consultation tool during interhospital assessment of an indeterminate biliary stricture: a case report
Post written by Carlos Robles-Medranda, MD, FASGE, AGAF, from the Endoscopy Division, Instituto Ecuatoriano de Enfermedades Digestivas (IECED), Guayaquil, Ecuador. We describe a case of a patient cared for in a medical facility abroad (Colombia) who presented with jaundice and proximal common bile duct stenosis detected with MRCP. EUS identified a homogeneous hypoechoic lesion localized at …
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