Artificial intelligence (AI) was first described in 1950; however, several limitations in early
models prevented widespread acceptance and application to medicine. In the early 2000s …

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 …

Clinicians and software developers need to understand how proposed machine learning
(ML) models could improve patient care. No single metric captures all the desirable …

This work presents a smart healthcare system for the detection of various abnormalities
present in the gastrointestinal (GI) region with the help of time–frequency analysis and …

Background and Aims False positive (FP) results by computer-aided detection (CADe)
hamper the efficiency of colonoscopy by extending examination time. Our aim was to …

Background Helicobacter pylori plays a central role in the development of gastric cancer,
and prediction of H pylori infection by visual inspection of the gastric mucosa is an important …

The identification of diseases is inseparable from artificial intelligence. As an important
branch of artificial intelligence, convolutional neural networks play an important role in the …

Helicobacter pylori (H. pylori) is the most common bacterial infection worldwide, is usually
acquired during childhood and is related to gastric carcinogenesis during adulthood …

During the past decades, many automated image analysis methods have been developed
for colonoscopy. Real-time implementation of the most promising methods during …

Novel artificial intelligence techniques are emerging in all fields of healthcare, including
gastroenterology. The aim of this review is to give an overview of artificial intelligence …