Latest AI and machine learning research in inflammatory bowel disease for healthcare professionals.
BACKGROUND: Inflammatory bowel disease (IBD) shows divergent epidemiological trends in China and the United States, necessitating country-specific forecasting approaches. This study compares IBD burden between both countries from 1990 to 2023 and projects future trends to 2050 using a multi-algorithm forecasting framework. METHODS: We analyzed data from the Global Burden of Disease Study 2023 (GBD...
Protein allostery underlies most information and energy processing in biology and the development of artificial allosteric proteins is a key objective of synthetic biology and biotechnology. We show that machine-learning-engineered minimal ligand-binding domains act as efficient receptors in single-component allosteric switches, despite lacking global conformational change. Such colorimetric, lumi...
BACKGROUND: Inflammatory bowel disease (IBD) is a chronic, nonspecific inflammatory disorder affecting the gastrointestinal tract. The condition's pat...
RATIONALE AND OBJECTIVES: Nasopharyngeal carcinoma (NPC) is characterized by a distinctive virologic and immunologic profile, in which Epstein-Barr vi...
PURPOSE: Accurate and reliable polyp segmentation is essential for early colorectal cancer detection. Although recent methods employing multi-scale fe...
This study aimed to explore the relationship between periodontitis (PD) and inflammatory bowel disease (IBD), focusing on changes in the expression of...
Imaging after ischemic and hemorrhagic stroke may allow measurement of key phenotypes of injury and recovery for which targeted therapies are still la...
UNLABELLED: Despite advances in pharmacotherapy, many patients with inflammatory arthritis (IA) experience residual pain even in remission. Digital he...
BACKGROUND: Inflammatory bowel disease (IBD), including Crohn's disease and ulcerative colitis, is a chronic disorder that markedly impairs quality of...
OBJECTIVE: This study explored the relationship between clinical phenotypes and immuno-molecular features of systemic lupus erythematosus (SLE) using ...
OBJECTIVE: To develop, externally validate, and simplify a machine-learning (ML) model to predict remission between six and 24 months in rheumatoid ar...
Pulmonary sarcoidosis is a heterogeneous granulomatous disease with an unpredictable clinical course, in which accurate assessment of disease activity...
OBJECTIVE: ACTH-dependent Cushing's syndrome (CS) causes profound immune dysfunction and severe infections. This study aimed to characterize immune ce...
BACKGROUND: Compared with conventional colonoscopy, computer-assisted adenoma detection (CADe) colonoscopy and Endocuff-Vision (EV) have been shown to...
BACKGROUND: Ulcerative colitis (UC) exhibits a heterogeneous clinical course, complicating prognostication and therapeutic decision making. Current to...
BACKGROUND: A high adenoma detection rate in screening colonoscopy is associated with decreased rates of post-colonoscopy colorectal cancer. The use o...
Ultrasound can penetrate centimetres of soft tissue, focus energy with millimetre precision, and operate safely under real-time image guidance. Levera...
Computer-aided colonoscopy (CAC) may improve polyp detection and characterization compared to traditional colonoscopy (TC). However, recent studies al...
Artificial intelligence (AI), encompassing various methods that enable computers to process complex data and perform tasks previously requiring human ...
BACKGROUND AND AIMS: Computer-aided detection (CADe) is anticipated to enhance adenoma detection rate (ADRs). The aim of this study was to systematica...