In the health domain, a major challenge is the detection of diseases using rapid and cost-
effective techniques. Most of the existing cancer detection methods show poor sensitivity …

The development of artificial intelligence (AI) has increased dramatically in the last 20 years,
with clinical applications progressively being explored for most of the medical specialties …

This ESGE Position Statement defines the expected value of artificial intelligence (AI) for the
diagnosis and management of gastrointestinal neoplasia within the framework of the …

Background and Aims The visual detection of early esophageal neoplasia (high-grade
dysplasia and T1 cancer) in Barrett's esophagus (BE) with white-light and virtual …

Artificial intelligence (AI) and machine learning (ML) systems are increasingly used in
medicine to improve clinical decision-making and healthcare delivery. In gastroenterology …

Artificial intelligence (AI) is rapidly developing in various medical fields, and there is an
increase in research performed in the field of gastrointestinal (GI) endoscopy. In particular …

Objective An international meeting was organised to develop consensus on (1) the
landmarks to define the gastro-oesophageal junction (GOJ),(2) the occurrence and …

Upper gastrointestinal (GI) neoplasia account for 35% of GI cancers and 1.5 million cancer-
related deaths every year. Despite its efficacy in preventing cancer mortality, diagnostic …

MR1 ESGE recommends the following standards for Barrett esophagus (BE) surveillance:–a
minimum of 1-minute inspection time per cm of BE length during a surveillance endoscopy …

Background Artificial intelligence (AI) has recently been applied to endoscopy and
questionnaires for the evaluation of oesophageal diseases (ODs). Aim We performed a …