Gastroenterology

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

8,553 articles
Stay Ahead - Weekly Gastroenterology research updates
Subscribe
Browse Categories
Showing 1219-1239 of 8,553 articles
The future of pediatric vesicoureteral reflux management.

BACKGROUND AND OBJECTIVE: Vesicoureteral reflux (VUR) is a common condition in pediatric urology, ye...

May 2026 42265024
Development and internal validation of a machine learning-based model for predicting postoperative complications after primary liver cancer resection.

OBJECTIVE: To identify risk factors for postoperative major complications after resection of primary...

May 2026 42129764
The Combination of Machine Learning and Metabolomics for the Clinical Diagnosis of Hepatocellular Carcinoma.

The early diagnosis of hepatocellular carcinoma (HCC) lacks biomarkers with a high sensitivity and s...

May 2026 42126022
Deep learning-based intraluminal gas modeling for anatomically accurate synthetic CT in MRI-based radiation therapy.

Stochastic bowel and rectal gas complicates MRI/CT deformable image registration (DIR) for synthetic...

May 2026 42127944
Deep-Motion-Net: GNN-based volumetric liver shape reconstruction from single-view 2D projections.

PURPOSE: Internal anatomical motion challenges precise radiation delivery during external beam radio...

May 2026 42128999
Multi-phase hybrid metabolomics framework identifies clinically applicable plasma signatures for early detection of gastric cancer.

Plasma metabolomics offers significant potential for non-invasive biomarker discovery in gastric can...

May 2026 42129158
Machine learning to predict survival in patients treated for hepatocellular carcinoma: a systematic review.

BACKGROUND: Given the interplay of cirrhosis with malignancy, management of hepatocellular carcinoma...

May 2026 42155307
TIMEL: Deep learning-statistical integration reveals spatial stromal and immune signatures of aggressive colon cancer.

BACKGROUND: Characterizing the tumor immune microenvironment (TIME) is essential for understanding a...

May 2026 42255201
Integrative analysis of the mouse cecal microbiome across diet, age, and weight in the diverse BXD population.

BACKGROUND: The gut microbiota adapts to and shapes the host's metabolic state through affecting cir...

May 2026 42121260
Thrombospondin-2 is a performant biomarker of at-risk MASH and advanced MASH fibrosis in a large multicentre European cohort.

BACKGROUND: Non-invasive biomarkers with biological rationale are needed for identifying patients wi...

May 2026 40738743
Shaping the future of postoperative recurrence in Crohn's disease: personalised approaches with AI-enabled imaging and multi-omics.

Postoperative recurrence (POR) is a major challenge in the long-term management of Crohn's disease (...

May 2026 41592952
Predicting biliary complications after liver transplantation: a machine learning and nomogram-based exploratory study.

BACKGROUND: Accurate risk stratification of biliary complications (BCs) after liver transplantation ...

May 2026 42115961
A novel deep-learning approach for monitoring gastrointestinal air variation during radiotherapy in young patients using radiographs.

Objective.To develop deep-learning (DL) predictive models of internal gastrointestinal (GI) gas from...

May 2026 42116712
Three-dimensional modeling of sensory nerve architecture and eosinophil and mast cell interactions in eosinophilic gastrointestinal disease.

Increased sensory nerve density has been described in type II inflammatory conditions and is linked ...

May 2026 42118094
Deep Learning Framework for Early Detection of Pancreatic Cancer Using Multi-modal Medical Imaging Analysis.

Pancreatic ductal adenocarcinoma (PDAC) remains one of the most lethal forms of cancer, with a five-...

May 2026 42118516
Interpreting MALDI imaging data for rare types of ampullary cancer using machine learning.

Rare tumor diseases are difficult to diagnose and there is a lack of routine diagnostic procedures. ...

May 2026 42120420
Establishment of prognostic prediction model based on lipid metabolism related genes in esophageal squamous cell carcinoma by machine learning algorithms.

BACKGROUND: Esophageal squamous cell carcinoma (ESCC) is a major cause of cancer-related mortality w...

May 2026 42120988
Application of machine-learning algorithms to identify the key determinants of risk for HIV, hepatitis C and hepatitis B in primary care settings.

BACKGROUND: Testing for Blood-Borne-Viruses (BBVs) such as the human immunodeficiency virus (HIV), h...

May 2026 42115877
Browse Categories