With the advent of the big data era, the application of artificial intelligence represented by
deep learning in medicine has become a hot topic. In gastroenterology, deep learning has …

Introduction Artificial intelligence (AI) that surpasses human ability in image recognition is
expected to be applied in the field of gastrointestinal endoscopes. Accordingly, its research …

Diagnostic medical imaging and the interpretation of the imaging results pose a great
challenge for the medical profession as the final conclusions are highly susceptible to …

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 and Aims We performed a meta-analysis of all published studies to determine
the diagnostic accuracy of artificial intelligence (AI) on histology prediction and detection of …

Background Accurate and robust pathological image analysis for colorectal cancer (CRC)
diagnosis is time-consuming and knowledge-intensive, but is essential for CRC patients' …

The high prevalence of Helicobacter pylori and the variety of gastroduodenal diseases
caused by this pathogen necessitate the use of only accurate methods both for the primary …

Objectives Artificial intelligence (AI) systems have shown favorable performance in the
detection of esophageal squamous cell carcinoma (ESCC). However, previous studies were …

Context.—Most deep learning (DL) studies have focused on neoplastic pathology, with the
realm of inflammatory pathology remaining largely untouched. Objective.—To investigate …

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