The Role of Artificial Intelligence in Surveillance in Barrett’s Esophagus and Gastric Intestinal Metaplasia

Abstract

Artificial Intelligence (AI) has been increasingly applied in medical imaging for improved accuracy and efficiency. One area that has seen significant advances is the use of AI in the detection of Barrett’s esophagus (BE) and gastric intestinal metaplasia (GIM). BE is a pre-cancerous condition that occurs in the esophagus and can lead to esophageal adenocarcinoma, while GIM is a precancerous lesion that occurs in the stomach. In this review article, we will provide an overview of current AI techniques used in the detection and diagnosis of BE and GIM, including computer-aided diagnosis (CAD) systems, deep learning algorithms, and image analysis techniques. The performance of AI in detecting these conditions will be evaluated and compared to traditional methods. The challenges and limitations of using AI in the diagnosis of BE and GIM will also be discussed. The article aims to provide a comprehensive understanding of the use of AI in BE and GIM detection and to guide future research in this field.

Can We Impact the Incidence and Outcomes of Barrett’s Esophagus and Esophageal Adenocarcinoma?

“…7 Finally, we can't over emphasize the importance of a highquality endoscopic examination and look forward to new technologies and artificial intelligence to help improve dysplasia detection in BE. 8,9 This issue also contains fantastic complementary articles on screening for foregut cancers in Lynch syndrome and surveillance after surgery. 10,11 We are pleased to publish 4 original research articles this month and 1 original review as our journal continues to grow.…”