Mortality from colorectal cancer is reduced through screening and early detection; moreover,
removal of neoplastic lesions can reduce cancer incidence. While understanding of the risk …

Artificial Intelligence (ai) systems are precious support for decision-making, with many
applications also in the medical domain. The interaction between mds and ai enjoys a …

Simple Summary In recent years, there has been an exponential rise in artificial intelligence-
based technology. Artificial intelligence has been applied to several medical disciplines …

Wireless capsule endoscopy is a noninvasive wireless imaging technology that becomes
increasingly popular in recent years. One of the major drawbacks of this technology is that it …

Accurate in-vivo optical characterization of colorectal polyps is key to select the optimal
treatment regimen during colonoscopy. However, reported accuracies vary widely among …

Background and Aims Artificial intelligence–based computer-aid detection (CADe) devices
have been recently tested in colonoscopies, increasing the adenoma detection rate (ADR) …

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 …

Background and Aims Artificial intelligence (AI)–based computer-aided diagnostic (CADx)
algorithms are a promising approach for real-time histology (RTH) of colonic polyps. Our aim …

Artificial intelligence shows promise for clinical research in inflammatory bowel disease
endoscopy. Accurate assessment of endoscopic activity is important in clinical practice and …

Background Deep learning models have previously been established to predict the
histopathology and invasion depth of gastric lesions using endoscopic images. This study …