Latest AI and machine learning research in gastroenterology for healthcare professionals.
Accurate prognostic prediction remains a critical unmet need in advanced hepatocellular carcinoma (H...
Medical artificial intelligence (AI) has advanced rapidly, yet a comprehensive quantitative overview...
The shift from the traditional empirical approach to a more data-driven method in the diagnosis and ...
Objective: To develop and validate machine learning-based models for predicting the risk of transmur...
BACKGROUND: Gastric cancer is an aggressive malignancy with poor prognosis due to complex pathogenes...
BACKGROUND: Metabolic dysfunction-associated steatotic liver disease (MASLD) presents a growing glob...
OBJECTIVES: Transarterial chemoembolization (TACE) is a promising locoregional therapy for unresecta...
BACKGROUND: Artificial intelligence (AI) is increasingly being implemented in digital pathology to s...
Pancreatic ductal adenocarcinoma (PDAC) has poor prognosis due to late diagnosis, limitations of com...
Nonalcoholic fatty liver disease (NAFLD) is the most common chronic liver disease worldwide. While m...
PURPOSE: As obesity has reached pandemic proportions worldwide, improving technical solutions for it...
This study aims to develop and externally validate a multimodal AI model for detecting ischemia comp...
BACKGROUND: Colorectal cancer is a major global health burden, with most cases arising from adenomat...
BACKGROUND: Ischemic heart disease and metabolic dysfunction-associated steatotic liver disease repr...
BACKGROUND: Ulcerative colitis (UC) exhibits substantial heterogeneity in inflammatory pathways and ...
90Y-labeled microsphere (90Y-microsphere) hepatic arterial radioembolization is a direct treatment f...
BACKGROUND: Failure of conventional imaging to detect pancreatic ductal adenocarcinoma (PDA) at its ...
Early screening and antiviral therapy for significant liver inflammation in chronic hepatitis B (CHB...
Polysomnography is the standard tool for assessing obstructive sleep apnea (OSA) severity; however, ...
Artificial intelligence (AI) is increasingly used in gastrointestinal endoscopy for polyp detection ...
Lipid nanoparticle (LNP) delivery of RNA therapeutics is constrained by poor tissue selectivity and ...