Post written by Sanjay Gadi, MD, and Jeremy Glissen Brown, MD, from Duke University Medical Center, Durham, North Carolina, USA. Artificial intelligence—based computer-aided detection (CADe) software may improve colorectal cancer outcomes by increasing adenoma detection while reducing miss rates during colonoscopy. CADe has had promising results in controlled environments but mixed results when evaluated in …
Tag: Artificial intelligence
A convolutional neural network–based system for identifying neuroendocrine neoplasms and multiple types of lesions in the pancreas using EUS (with videos)
Post written by Zhen Li, MD, from the Department of Gastroenterology, Qilu Hospital of Shandong University, Jinan, China. The focus of our study was to develop a convolutional neural network—based artificial intelligence (AI) system named iEUS to assist in diagnosing pancreatic neuroendocrine neoplasms (pNENs) and multiple types of pancreatic lesions (including pancreatic adenocarcinoma, autoimmune pancreatitis, and pancreatic …
Unveiling the effectiveness of Chat-GPT 4.0, an artificial intelligence conversational tool, for addressing common patient queries in gastrointestinal endoscopy
Post written by Roberta Maselli, MD, PhD, from the Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, Italy. This study evaluates the effectiveness and reliability of Chat Generative Pre-Trained Transformer 4.0 (Chat-GPT 4.0; OpenAI, San Francisco, Calif, USA) in addressing common patient queries regarding GI endoscopy. By assessing responses in terms of reliability, accuracy, and comprehensibility, the …
Preliminary validation of the virtual bariatric endoscopic simulator
Post written by Mark A. Gromski, MD, from the Division of Gastroenterology, Department of Medicine, Indiana University School of Medicine, Indianapolis, Indiana, Suvranu De, ScD, from the College of Engineering, Florida A&M University-Florida State University, Tallahassee, Florida, and Doga Demirel, PhD, from the School of Computer Science, University of Oklahoma, Norman, Oklahoma, USA. This study focuses on developing and validating the virtual …
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Use of artificial intelligence improves colonoscopy performance in adenoma detection: a systematic review and meta-analysis
Post written by Jonathan Makar, BSc, from The University of Melbourne, Melbourne, Victoria, Australia. Our study focuses on the impact of computer-aided detection (CADe) systems and their role in improving adenoma detection during colonoscopy. These novel artificial intelligence (AI) systems aim to address endoscopist recognition failure and improve colonoscopy performance, as they are not subject to human …
The best of artificial intelligence in 2024
Post written by Michael B. Wallace, MD, MPH, GIE Editor Emeritus from the Department of Medicine, Mayo Clinic, Jacksonville, Florida, USA. This was an invited review article commissioned by the GIE Editorial Board to recap major advances in the field of artificial intelligence (AI) over the past year. AI is moving so rapidly in many fields, including …
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A new artificial intelligence system for both stomach and small-bowel capsule endoscopy
Post written by Xia Xie, MD, PhD, and Shi-Ming Yang, MD, PhD, from the Department of Gastroenterology, The Second Affiliated Hospital, The Third Military Medical University, Chongqing, China. This research primarily focuses on analysis of artificial intelligence (AI)’s capacity for recognizing lesions in the stomach and small intestine as well as its potential to augment the diagnostic …
Virtual indigo carmine chromoendoscopy images: a novel modality for peroral cholangioscopy using artificial intelligence technology (with video)
Post written by Ryosuke Sato, MD, and Kazuyuki Matsumoto, MD, PhD, from the Department of Gastroenterology and Hepatology, Okayama University Hospital, Okayama, Japan. Our study focused on developing and evaluating a novel imaging technique that combines artificial intelligence with peroral cholangioscopy to improve visualization of biliary strictures. We used cycle-consistent adversarial network (CycleGAN) technology to convert standard …
A novel artificial intelligence–assisted “vascular healing” diagnosis for prediction of future clinical relapse in patients with ulcerative colitis: a prospective cohort study (with video)
Post written by Yasuharu Maeda, MD, PhD, and Takanori Kuroki, MD, from the Digestive Disease Center, Showa University Northern Yokohama Hospital, Yokohama, Kanagawa, Japan. In the assessment of inflammation and prediction of outcomes in ulcerative colitis (UC), artificial intelligence (AI)—assisted image-enhanced endoscopy offers objective and more precise predictions. We developed an AI-assisted narrow-band imaging system called …
Impact of study design on adenoma detection in the evaluation of artificial intelligence–aided colonoscopy: a systematic review and meta-analysis
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 …
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