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

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 …

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 …

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

Recently, significant improvements have been made in artificial intelligence. The artificial
neural network was introduced in the 1950s. However, because of the low computing power …

Artificial intelligence (AI) enables machines to provide unparalleled value in a myriad of
industries and applications. In recent years, researchers have harnessed artificial …

Automated diagnosis of digestive tract diseases from gastrointestinal endoscopy images is
of high importance for improving the diagnosis accuracy and efficiency. The current …

Background and Aims We aimed to develop and validate a deep learning–based system
that covers various aspects of early gastric cancer (EGC) diagnosis, including detecting …

As a powerful analytic tool for medical image analysis, particularly for endoscopic image
interpretation, deep convolutional neural network (DCNN) has gained remarkable attention …