Gastroenterology

Pancreatic Cancer Risk Stratification Across Diabetes Stages: Development and Internal Validation of a Machine Learning Model.

BACKGROUND: Pancreatic cancer is diagnosed at advanced stages in diabetes patients. Existing predict...

Noninvasive prediction of severe histopathology in drug-induced liver injury using a dual elastography-based machine learning model.

OBJECTIVES: To develop and validate a machine learning (ML) model integrating dual elastography, cli...

Exploring the gut-lung axis in post-liver transplant acute lung injury: A multi-omics approach.

Acute lung injury (ALI) is a significant post-operative complication of liver transplant (LT), with ...

Deep Learning Predicts Mutations and Outcomes in Gastrointestinal Stromal Tumors from Whole-Slide Images.

Gastrointestinal stromal tumor (GIST) is the most common gastrointestinal mesenchymal tumor, driven ...

The atlas of abdominal organ remodeling in hepatocellular carcinoma patients: An artificial intelligence-based multicenter imaging study.

BACKGROUND: Morphological changes of abdominal organs in hepatocellular carcinoma (HCC) remain uncha...

Radiological Assessment of Liver and Biliary Neoplasms.

Primary liver cancer, encompassing hepatocellular carcinoma and cholangiocarcinoma, represents a gro...

Integrative machine learning and multi-omics analysis reveals ATIC as a promoter of hepatocellular carcinoma progression.

Autophagy plays a non-negligible role in the progression and immune regulation of hepatocellular car...

Deep learning layer-specific collagen quantification correlates with activity and is associated with outcomes in Crohn's disease.

BACKGROUND & AIMS: Intestinal fibrosis remains a major unmet need in inflammatory bowel disease (IBD...

Metabolomic machine learning predictor for the diagnosis of alcohol-associated liver disease.

BACKGROUND: It is urgent to find novel non-invasive biomarkers that can accurately diagnose alcohol-...

Deep learning-driven inversion framework for shear modulus estimation in magnetic resonance elastography.

PURPOSE: The multimodal direct inversion (MMDI) algorithm is widely used in magnetic resonance elast...

Comment on "Development and validation of machine learning models for mortality risk stratification in acute pancreatitis patients complicated by acute kidney injury".

A histopathologically verified dataset of magnifying narrow-band imaging endoscopy for classifying the gastric precancerous cascade.

Gastric cancer is a leading cause of mortality worldwide, yet the development of computer-aided diag...

High-throughput identification of bacterial β-glucuronidase inhibitors using machine learning.

The human gut microbiome plays a vital role in regulating host physiological functions and influenci...

Impact of Availability of Computer-Aided Detection Devices on Adenoma Detection During Colonoscopy: A Cluster Randomized Study.

BACKGROUND AND AIMS: Endoscopists' colonoscopy adenoma detection rates (ADR) are inversely associate...

A Holistic Eating Monitoring System Enabled by Textile Strain Sensors and Hierarchical Network.

Wearable sensors have prompted human dynamic monitoring by quantifying physiological and biomechanic...

Comprehensive analysis of monocyte palmitoylation-related genes IFITM3 and CCL3-CCR5 axis in crohn's disease progression: Insights from mendelian randomization, multi-omics integration, machine learning, and SHAP methodology.

BACKGROUND: Crohn's disease (CD) is a chronic inflammatory bowel disease marked by immune imbalance ...

Association Between Lactate-to-Albumin Ratio and 28-Day All-Cause Mortality in ICU-Admitted Acute Pancreatitis Patients: Development and Validation of a Machine Learning-Based Predictive Model Integrating Albumin-Corrected Indices.

OBJECTIVE: Patients with severe acute pancreatitis (AP) carry a high mortality risk. The lactate-to-...

AI in esophageal cancer: advances, barriers to clinical translation, and perspectives for digital health.

BACKGROUND: Esophageal cancer (EC) remains one of the leading causes of cancer-related mortality wor...

A novel deep learning network for small bowel ulcerative lesion detection and differential diagnosis on double-balloon endoscopy images.

Differentiating small bowel ulcerative diseases (SBUDs) on double-balloon endoscopy (DBE) is challen...

Computational exploration of quercetin derivatives from Azadirachta indica leaf as threonine tyrosine kinase inhibitors for potential lung and pancreatic cancer treatment.

Lung and pancreatic adenocarcinomas account for substantial cancer-related mortality worldwide, with...

Dual-stream token fusion with Swin Transformer and lesion-aware tokens for gastric metaplasia classification in IoMT-assisted deployment.

BACKGROUND: Gastric intestinal metaplasia (GIM) is often visually inconspicuous on routine endoscopy...