Artificial intelligence in endoscopy: transition from academic development to integration into daily endoscopic practice

Over the past decade we have seen a rapid increase in the use of artificial intelligence (AI) systems in the endoscopic literature, most of which has been focused on colonic applications. The field is now moving forward rapidly, with implementation of the first clinical studies and an expansion of the research focus to a variety of endoscopic applications. Given its subtle endoscopic appearance and the corresponding diagnostic challenge, early gastric cancer is a logical application of AI. Several systems have recently been described, mainly focusing on primary detection systems [1] [2] [3].