Abstract Because magnifying endoscopy is considered to be more accurate at predicting the histology of colorectal polyps than nonmagnifying endoscopy, it has been attracting a lot of attention, especially in…
Abstract Adequacy of manual endoscopic inspection of the upper and lower gastrointestinal mucosa is operator-dependent: it is common knowledge that the likelihood of finding lesions and the degree of cancer…
Abstract As AI becomes increasingly ubiquitous in our world, it is set to transform every aspect of how we do medical care, research and education. Physicians as a profession need…
Abstract Artificial intelligence (AI)-based technologies are developing rapidly, offering great promise for gastroenterology and particularly endoscopy. However, there are complex barriers and pitfalls that must be considered before widespread real-world…
Abstract With the application of artificial intelligence (AI) in deep learning, it has become possible to develop an AI that can be used clinically even in the field of upper…
Abstract Endoscopic tissue resection is a rapidly evolving field. En bloc resection techniques, specifically endoscopic submucosal dissection, allow for organ-sparing curative endoscopic resection for early gastrointestinal cancers. However, using current…
Abstract Resect and discard refers to a paradigm for the management of colorectal adenomas 1-5 mm in size. In this paradigm, histology of colorectal polyps is predicted endoscopically based on…
Abstract Optimal success of colonoscopy for prevention of colorectal cancer is currently measured by adenoma detection rate (ADR), which reflects a colonoscopists ability to identify colorectal and remove precancerous polyps….
Abstract Background: Artificial intelligence (AI) is exponentially gaining interest and utilization in medical fields. Deep learning, a particular branch of AI under machine learning, started a revolution in AI by…
