Latest AI and machine learning research in gastroenterology for healthcare professionals.
OBJECTIVE: Early diagnosis of pancreatic cystic neoplasm (PCN) is crucial for patient survival. This...
Machine learning (ML) offers precise predictions and could improve patient care, potentially replaci...
Colorectal cancer (CRC) is the most common malignancy in the digestive system, with a lower 5-year o...
Despite recent surge of interest in deploying colon capsule endoscopy (CCE) for early diagnosis of c...
BACKGROUND: Hepatocellular carcinoma (HCC) treatment remains challenging, particularly for immune ch...
RATIONALE AND OBJECTIVES: To investigate the effect of accelerated deep-learning (DL) multi-b-value ...
BACKGROUND: Liver disease accounts for 4Â % of global mortality. The advent of mobile technology has ...
BACKGROUND: 18-Fluoro-deoxyglucose positron emission tomography/computed tomography (FDG-PET/CT) is ...
BACKGROUND: Predicting long-term outcomes in liver transplantation remain a challenging endeavor. Th...
RATIONALE AND OBJECTIVES: Immunotherapy combined with chemotherapy has improved outcomes for some es...
BACKGROUND: Early recognition of steatosis (fatty liver) and fibrosis in liver health is crucial for...
The diagnosis of pancreatic cancer presents a significant challenge due to the asymptomatic nature o...
OBJECTIVE: To develop and validate an automated deep learning-based model for focal liver lesion (FL...
Over 90% of gastrointestinal stromal tumors (GISTs) harbor mutations in KIT or PDGFRA that can predi...
PURPOSE: Hepatocellular carcinoma (HCC) remains a global health concern, marked by increasing incide...
Over the past few years, surgical data science has attracted substantial interest from the machine l...
OBJECTIVE: To construct a postoperative recurrence prediction model for patients with T1 colorectal ...
Accurate three-dimensional (3D) segmentation of hepatic vascular networks is crucial for supporting ...
Globally, esophageal cancer stands as a prominent contributor to cancer-related fatalities, distingu...
Hundreds of loci have been robustly associated with obesity-related traits, but functional character...
PURPOSE: This study aims to explore the potential of non-contrast abdominal CT radiomics and deep le...