A deep-learning computer aided detection (CAD) system was trained to recognize neoplasia using nearly 500,000 endoscopic images.  In head-to-head testing against experienced gastroenterologists using additional images, the accuracy of CAD in diagnosing neoplasia was 88% vs 73% for the gastroenterologists.