Latest AI and machine learning research in gastroenterology for healthcare professionals.
Pediatric obesity is linked to multi-organ inflammation and an increased risk of cardiometabolic and steatotic liver disease. To identify circulating biomarkers of cardiometabolic risk, we performed proximity extension assay proteomics, to quantify 149 inflammation- and cardiovascular-related proteins in a cross-sectional study of 4024 children and adolescents (2377 with obesity and 1647 with norm...
Antimicrobial-resistant and multidrug-resistant Campylobacter spp. poses a human health risk. A total of 1694 isolates from market hogs (1599 Campylobacter coli and 95 C. jejuni) and 965 isolates from sows (918 C. coli and 47 C. jejuni) that were isolated at US slaughter plants from 2013 to 2021 and tested for antimicrobial resistance were included in the analysis. Multidrug resistance (MDR) (resi...
Artificial intelligence (AI) is revolutionizing medical imaging, particularly in chronic liver diseases assessment. AI technologies, including machine...
Metabolic dysfunction-associated steatotic liver disease (MASLD) is an increasingly prevalent condition associated with hepatic complications and card...
BACKGROUND AND AIMS: Ulcerative colitis (UC), a chronic inflammatory bowel disease, causes persistent mucosal inflammation and epithelial dysfunction....
Using a systematic literature search of original articles published during 2025 in Gastrointestinal Endoscopy (GIE) and other high-impact medical and ...
BACKGROUND: Given the potential of artificial intelligence (AI) and the increasing importance of understanding AI's economic impact, this study aims t...
OBJECTIVE: To develop and validate an integrated model combining Gd-EOB-DTPA-enhanced MRI habitat imaging with clinical features for preoperative pred...
Pancreatic ductal adenocarcinoma (PDAC) is a highly aggressive malignancy. Accurate prognostic modeling enables reliable risk stratification to identi...
Automatic grading of Gastric Intestinal Metaplasia (GIM) is valuable in assisting the diagnosis of early gastric cancer. Recently, prototypical networ...
BACKGROUND: Accurate preoperative assessment of lymphovascular invasion (LVI) remains challenging due to the high heterogeneity of gastric cancer (GC)...
BACKGROUND AND OBJECTIVE: Deep learning-based cell segmentation and classification methods in digital pathology are critical for diagnostics but are h...
PURPOSE: Small cell lung cancer (SCLC) is a highly aggressive malignancy with a high incidence of liver metastases, particularly among elderly patient...
A machine learning-based pathomics model was investigated for its value and biological significance in predicting overall survival (OS) after surgery ...
The advent of normothermic machine perfusion (NMP) has substantially enhanced liver transplantation outcomes by enabling physiologic preservation and ...
Psoriasis impacts nearly 100 million people globally and is associated with neuropsychiatric comorbidities such as depression and anxiety. With gut mi...
Endoscopic ultrasound (EUS) has evolved from a diagnostic imaging tool into a versatile platform that enables high-precision access, sampling, and the...
Colorectal cancer incidence and mortality have declined over time, due in part to high-quality screening and surveillance colonoscopy. Nevertheless, p...
In this study, pregnant mice were exposed to dietary Di(2-ethylhexyl) phthalate (DEHP) (0.1Â % or 0.2Â %) from gestational day (GD) 0 to GD18, and mater...