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 …

Cough acoustics contain multitudes of vital information about pathomorphological
alterations in the respiratory system. Reliable and accurate detection of cough events by …

Objectives Detecting early gastric cancer is difficult, and it may even be overlooked by
experienced endoscopists. Recently, artificial intelligence based on deep learning through …

1 ESGE suggests that high definition endoscopy, and dye or virtual chromoendoscopy, as
well as add-on devices, can be used in average risk patients to increase the endoscopist's …

Background White light endoscopy is a pivotal first-line tool for the detection of gastric
neoplasms. However, gastric neoplasms can be missed during upper gastrointestinal …

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

Objectives Evaluation of Helicobacter pylori infection status (non‐infection, past infection,
current infection) has become important. This study aimed to determine the usefulness of the …

Objective Artificial intelligence (AI) may reduce underdiagnosed or overlooked upper GI
(UGI) neoplastic and preneoplastic conditions, due to subtle appearance and low disease …

Conventional white-light endoscopy has high interobserver variability for the diagnosis of
gastric precancerous conditions. Here we present a deeplearning (DL) approach for the …

Simple Summary Esophageal cancer (EC) has a poor prognosis when the diagnosis is
delayed, but curative treatment is possible if the diagnosis is timely. The disease subtly …