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

Artificial intelligence (AI) is gradually being utilized in various fields as its performance has
been improving with the development of deep learning methods, availability of big data, and …

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)-based applications have transformed
several industries and are widely used in various consumer products and services. In …

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) …

Gastrointestinal cancers are characterized by high incidence and mortality. However, there
are well-established methods of screening. The endoscopy exam provides the …

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

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: With the development of new technologies such as magnifying endoscopy with
narrow band imaging, endoscopists achieved better accuracy for diagnosis of gastric cancer …

Background & Aims: Gastric cancer is the common malignancies from cancer worldwide.
Endoscopy is currently the most effective method to detect early gastric cancer (EGC) …