Fellow Division of Gastroenterology Massachusetts General Hospital Harvard Medical School Boston, MA
Slideshow below.
The availability of AI technologies to improve the overall quality of GI endoscopy has grown significantly over the last decade.1 AI algorithms have shown promise in detecting malignant, infectious, and inflammatory diseases in both upper and lower GI endoscopy imaging.2 Most AI research in endoscopy is currently focused on computer-aided detection (CADe) and diagnosis (CADx), but other computer vision tools are also in development, ranging from algorithms to measure IBD activity to dysplasia detection in Barrett's esophagus.2,3
Improved lesion detection and classification with AI can support clinical decision-making and lead to better patient outcomes, cost savings, clinician time management, and other efficiencies within the health care system.2-7 However, some substantial barriers must be overcome and current projections must be validated with clinical and real-world trials before we can fully rely on AI in these settings.8-11
