Inflammatory bowel disease (IBD) is a complex and multifaceted disorder of the
gastrointestinal tract that is increasing in incidence worldwide and associated with …

Smart cities provide an efficient infrastructure for the enhancement of the quality of life of the
people by aiding in fast urbanization and resource management through sustainable and …

Abstract Gastrointestinal Tuberculosis (GITB) and Crohn's disease (CD) are both chronic
granulomatous diseases with a predilection to involve primarily the terminal ileum. GITB is …

Background Inflammatory bowel disease (IBD) is a gastrointestinal chronic disease with an
unpredictable disease course. Computational methods such as machine learning (ML) have …

Introduction: Since the advent of artificial intelligence (AI) in clinical studies, luminal
gastrointestinal endoscopy has made great progress, especially in the detection and …

Chlorophyll content is an important indicator of plant photosynthesis, which directly affects
the growth and yield of crops. Using hyperspectral imaging technology to quickly and non …

The massive increase in health-related digital data has revolutionized the power of machine
learning algorithms to produce more salient information. Digital health data consists of …

Given the breakthroughs in key technologies, such as image recognition, deep learning and
neural networks, artificial intelligence (AI) continues to be increasingly developed, leading to …

Background The impact of relapses on disease burden in Crohn's disease (CD) warrants
searching for predictive factors to anticipate relapses. This requires analysis of large …

Background and Aim The identification of ulcerative colitis (UC) and Crohn's disease (CD) is
a key element interfering with therapeutic response, but it is often difficult for less …