Mobile health apps (MHAs) and medical apps (MAs) are becoming increasingly popular as
digital interventions in a wide range of health-related applications in almost all sectors of …

Background Artificial intelligence (AI) has received enormous attention and has gone
through a transition stage from being a pure statistical tool to being one of the main drivers of …

This paper presents an ensemble of pre-trained models for the accurate classification of
endoscopic images associated with Gastrointestinal (GI) diseases and illnesses. In this …

Capsule endoscopy (CE) has been increasingly utilised in recent years as a minimally
invasive tool to investigate the whole gastrointestinal (GI) tract and a range of capsules are …

The era of big data has led to the necessity of artificial intelligence models to effectively
handle the vast amount of clinical data available. These data have become indispensable …

Abstract Information systems (IS) research has always been one of the leading applied
research areas in the investigation of technology-related phenomena. Meanwhile, for the …

Background Previous studies demonstrated limited accuracy of existing guidelines for
predicting choledocholithiasis, leading to overutilization of endoscopic retrograde …

The huge advancement in Internet web facilities as well as the progress in computing and
algorithm development, along with current innovations regarding high-throughput …

Gastroesophageal reflux disease (GERD) is a multidisciplinary disease; therefore, when
treating GERD, a large amount of data needs to be monitored and managed. The aim of our …

As the volume and complexity of healthcare data continues to grow, the field of
gastroenterology has embraced the use of computational tools to identify, extract, and …