Background and Aims The American Society for Gastrointestinal Endoscopy (ASGE) AI Task
Force along with experts in endoscopy, technology space, regulatory authorities, and other …

In the past few years, we have seen a surge in the development of relevant artificial
intelligence (AI) algorithms addressing a variety of needs in GI endoscopy. To accept AI …

Background and Aims Artificial intelligence (AI), specifically deep learning, offers the
potential to enhance the field of GI endoscopy in areas ranging from lesion detection and …

The potential benefit of artificial intelligence (AI) in optimizing the quality of care provided to
patients has generated significant interest among gastroenterologists. However …

Gastroenterology has been an early leader in bridging the gap between artificial intelligence
(AI) model development and clinical trial validation, and in recent years we have seen the …

Integrating artificial intelligence (AI) into gastrointestinal (GI) endoscopy heralds a significant
leap forward in managing GI disorders. AI-enabled applications, such as computer-aided …

Artificial intelligence (AI) and its application in medicine has grown large interest. Within
gastrointestinal (GI) endoscopy, the field of colonoscopy and polyp detection is the most …

Artificial intelligence (AI) in GI endoscopy holds tremendous promise to augment clinical
performance, establish better treatment plans, and improve patient outcomes. Although …

Background and Aims The use of artificial intelligence (AI) has transformative implications to
the practice of gastroenterology and endoscopy. The aims of this study were to understand …

Artificial intelligence has been portrayed as a silver bullet for a number of challenges
encountered in gastrointestinal (GI) endoscopy and beyond. Intense research, commercial …