Gastroenterology

Latest AI and machine learning research in gastroenterology for healthcare professionals.

6,494 articles
Stay Ahead - Weekly Gastroenterology research updates
Subscribe
Browse Specialties
Showing 148-168 of 6,494 articles
Integrating bulk and single-cell RNA sequencing reveals intratumor heterogeneity phenotypes and immune infiltration in pancreatic cancer.

BACKGROUND: Although the significance of intratumoral heterogeneity (ITH) has been widely acknowledg...

Prediction of gastrointestinal hemorrhage in cardiology inpatients using an interpretable XGBoost model.

Gastrointestinal bleeding (GIB) occurs more frequently in cardiovascular patients than in the genera...

Machine learning-based risk prediction model for central nervous system involvement in diffuse large B-cell lymphoma.

Accurate prediction of CNS relapse in DLBCL remains challenging despite existing models like IPI and...

Prediabetes phenotypes: can aetiology and risk profile guide lifestyle strategies for diabetes prevention?

INTRODUCTION: Type 2 diabetes (T2D) continues to worsen globally alongside rise in obesity. Asymptom...

Assessment and management of portal hypertension in patients with MASLD: advances and caveats.

INTRODUCTION: Metabolic dysfunction-associated steatotic liver disease (MASLD) is increasingly gaini...

Liver Retransplantation: Identifying Factors and Developing a Risk Prediction Model to Predict Futility in the Modern Era.

BACKGROUND: Liver retransplantation (rLT) results have traditionally been inferior compared with tho...

Diffusion-weighted imaging in rectal cancer MRI from theory to practice.

Diffusion-weighted imaging (DWI) has become a cornerstone of high-resolution rectal MRI, providing c...

SPP1 promotes malignant characteristics and drug resistance in hepatocellular carcinoma by activating fatty acid metabolic pathway.

Hepatocellular carcinoma (HCC) progression and prognosis are influenced by various molecular markers...

MRI sequence focused on pancreatic morphology evaluation: three-shot turbo spin-echo with deep learning-based reconstruction.

BackgroundHigher-resolution magnetic resonance imaging sequences are needed for the early detection ...

FF Swin-Unet: a strategy for automated segmentation and severity scoring of NAFLD.

BACKGROUND: Non-alcoholic fatty liver disease (NAFLD) is a significant risk factor for liver cancer ...

How machine learning on real world clinical data improves adverse event recording for endoscopy.

Endoscopic interventions are essential for diagnosing and treating gastrointestinal conditions. Accu...

Autoimmune gastritis detection from preprocessed endoscopy images using deep transfer learning and moth flame optimization.

Gastric Tract Disease (GTD) constitutes a medical emergency, emphasizing the critical importance of ...

Mapping the colon through the colonoscope's coordinates - The Copenhagen Colonoscopy Coordinate Database.

Colonoscopy is the leading endoscopic technique when it comes to implementing artificial intelligenc...

Data Extraction and Curation from Radiology Reports for Pancreatic Cyst Surveillance Using Large Language Models.

INTRODUCTION: Manual curation of radiographic features in pancreatic cyst registries for data abstra...

Recent advancement in endoscopic diagnosis for risk stratification of gastric cancer.

Approximately 90% of cases of gastric cancer (GC) are caused by Helicobacter pylori infection, and s...

Approach to upper gastrointestinal subepithelial lesions.

INTRODUCTION: Subepithelial lesions (SELs) of the upper gastrointestinal tract are commonly encounte...

Predicting time-to-first cancer diagnosis across multiple cancer types.

Cancer causes over 10 million deaths annually worldwide, with 40.5% of Americans expected to be diag...

Uncalibrated Model-Free Visual Servo Control for Robotic Endoscopic with RCM Constraint Using Neural Networks.

With the advancement of robotic-assisted minimally invasive surgery, visual servo control has become...

Browse Specialties