Latest AI and machine learning research in gastroenterology for healthcare professionals.
Hepatic cystic echinococcosis (HCE) is a zoonotic disease that occurs when the larvae of Echinococcu...
Fluorescence imaging is a real-time intraoperative navigation modality to enhance surgical vision an...
Early assessment and accurate staging of liver fibrosis may be of great help for clinical diagnosis ...
PURPOSE: Developed and validated a deep learning radiomics nomogram using multi-phase contrast-enhan...
: Currently, no tool exists to predict clinical outcomes in patients with advanced Parkinson's disea...
BACKGROUND: We developed a machine learning (ML) model to predict the risk of lymph node metastasis ...
PURPOSE: The objective of this study was to preliminarily assess the ability of metabolic parameters...
Unenhanced CT scans exhibit high specificity in detecting moderate-to-severe hepatic steatosis. Even...
PURPOSE: Radiation-induced lymphopenia (RIL) is common among patients undergoing radiation therapy (...
PURPOSE: This study aimed to assess tumor regression grade (TRG) in patients with rectal cancer afte...
BACKGROUND: Primary biliary cholangitis (PBC) is associated closely with the gut microbiota. This st...
Deformable image registration is an essential component of medical image analysis and plays an irrep...
Currently, the biological understanding of Crohn's disease (CD) remains limited. PANoptosis is a rev...
BACKGROUND: Sintilimab plus chemotherapy has proven effective as a combination immunotherapy for pat...
BACKGROUND: CT-image segmentation for liver and hepatic vessels can facilitate liver surgical planni...
Toxicological studies have demonstrated the hepatic toxicity of several bisphenol analogs (BPs), a p...
BACKGROUND: Real-time prediction of histologic features of small colorectal polyps may prevent resec...
Liver segmentation is a fundamental prerequisite for the diagnosis and surgical planning of hepatoce...
This study developed a new convolutional neural network model to detect and classify gastric lesions...
BACKGROUND: Accurate segmentation of gastric tumors from CT scans provides useful image information ...
BACKGROUND AND AIMS: Identifying patients with steatotic liver disease who are at a high risk of dev...