Artificial intelligence (AI) and machine learning (ML) systems are increasingly used in
medicine to improve clinical decision-making and healthcare delivery. In gastroenterology …

The purpose of this literature review is to provide a fundamental synopsis of current research
pertaining to artificial intelligence (AI) within the domain of clinical practice. Artificial …

The role of intestinal bacterial microbiota has been described as key in the pathophysiology
of Crohn's disease (CD). CD is characterized by frequent relapses after periods of remission …

Abstract Background and Aims There is increasing interest in machine learning-based
prediction models in inflammatory bowel diseases [IBD]. We synthesised and critically …

Purpose The purpose of this narrative review is to describe the clinical applications of
advanced computed tomography (CT) and magnetic resonance (MRI) techniques in patients …

Research of inflammatory bowel disease (IBD) has identified numerous molecular players
involved in the disease development. Even so, the understanding of IBD is incomplete, while …

Background: Many studies have linked dysbiosis of the gut microbiome to the development
of cardiovascular diseases (CVD). However, studies assessing the association between the …

BACKGROUND Traditional methods of developing predictive models in inflammatory bowel
diseases (IBD) rely on using statistical regression approaches to deriving clinical scores …

Gut microbiota has been implicated in various clinical conditions, yet the substantial
heterogeneity in gut microbiota research results necessitates a more sophisticated approach …

Crohn's disease and ulcerative colitis remain debilitating disorders, characterized by
progressive bowel damage and possible lethal complications. The growing number of …