With recent significant improvements in artificial intelligence (AI), especially in the field of
deep learning, an increasing number of studies have evaluated the use of AI in endoscopy …

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 …

Background: Artificial intelligence (AI) is exponentially gaining interest and utilization in
medical fields. Deep learning, a particular branch of AI under machine learning, started a …

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 is likely to perform several roles currently performed by humans, and
the adoption of artificial intelligence-based medicine in gastroenterology practice is …

Technological advances in artificial intelligence (AI) represent an enticing opportunity to
benefit gastroenterological practice. Moreover, AI, through machine or deep learning …

Endoscopy is one of the cornerstones in the field of gastroenterology. The original fiberoptic
endoscope was developed in the 1950s. From this point in time and decade after decade …

Background: Over the past decade, several artificial intelligence (AI) systems are developed
to assist in endoscopic assessment of (pre-) cancerous lesions of the gastrointestinal (GI) …

The development of convolutional neural networks has achieved impressive advances of
machine learning in recent years, leading to an increasing use of artificial intelligence (AI) in …