Stomach cancer is the third deadliest type of cancer in the world (0.86 million deaths in
2017). In 2035, a 20% increase will be observed both in incidence and mortality due to …

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 …

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

The landscape of gastrointestinal endoscopy continues to evolve as new technologies and
techniques become available. The advent of image-enhanced and magnifying endoscopies …

Background and Aims Artificial intelligence (AI)-based applications have transformed
several industries and are widely used in various consumer products and services. In …

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 …

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

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

Integrating real-time artificial intelligence (AI) systems in clinical practices faces challenges
such as scalability and acceptance. These challenges include data availability, biased …

Recently, there has been a growing interest in the application of artificial intelligence (AI) in
medicine, especially in specialties where visualization methods are applied. AI is defined as …