Gastroenterology Embraces Artificial Intelligence

AI and machine learning have the potential to redefine the management of several GI disorders.John Halamka, M.D., president, Mayo Clinic Platform, and Paul Cerrato, senior research analyst and communications specialist, Mayo Clinic Platform, wrote this article.Colonoscopy is one of the true success stories in modern medicine.Studies have demonstrated that colonoscopy screening detects the cancer at a much earlier stage, reducing the risk of invasive tumors and metastatic disease, andreducing mortality. However, while colorectal cancer is highly preventable, it is thethird leading cause of cancer-related deathsin the U.S. About 148,000 individuals develop the malignancy and over 53,000 die from it each year. We asked ourselves a question: can AI improve the detection of this and related gastrointestinal disorders?As we explained inThe Digital Reconstruction of Healthcare,one of the challenges in making an accurate diagnosis of GI disease is differentiating between disorders that look similar at the cellular level. For example, because environmental enteropathy and celiac disease overlap histopathologically, deep learning algorithms have been designed to analyze biopsy slides to detect the subtle differences between the two conditions. Syed et al.1 used a combination of convolutional and deconvolutional neural networks in a prospective analysis of over 3,000 biopsy images from 102 children. They were able to tell the differences between environmental enteropathy, celiac disease...
Source: Life as a Healthcare CIO - Category: Information Technology Source Type: blogs