Gastroenterology

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

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A prediction model based on machine learning: prognosis of HBV-induced HCC male patients with smoking and drinking habits after local ablation treatment.

BACKGROUND: Liver cancer, particularly hepatocellular carcinoma (HCC), is a major health concern glo...

Mar 2025 40226611
LA-ResUNet: Attention-based network for longitudinal liver tumor segmentation from CT images.

Longitudinal liver tumor segmentation plays a fundamental role in studying and monitoring the progre...

Mar 2025 40168844
Machine Learning Models predicting Decompensation in Cirrhosis.

BACKGROUND AND AIMS: Decompensation of cirrhosis significantly decreases survival, thus, prevention ...

Mar 2025 40153826
Exploring new drug treatment targets for immune related bone diseases using a multi omics joint analysis strategy.

In the field of treatment and prevention of immune-related bone diseases, significant challenges per...

Mar 2025 40148470
A Novel Visual Model for Predicting Prognosis of Resected Hepatoblastoma: A Multicenter Study.

RATIONALE AND OBJECTIVES: This study aimed to evaluate the application of a contrast-enhanced CT-bas...

Mar 2025 40140274
Prediction model of gastrointestinal tumor malignancy based on coagulation indicators such as TEG and neural networks.

OBJECTIVES: Accurate determination of gastrointestinal tumor malignancy is a crucial focus of clinic...

Mar 2025 40201179
Constructing an artificial intelligence-assisted system for the assessment of gastroesophageal valve function based on the hill classification (with video).

OBJECTIVE: In the functional assessment of the esophagogastric junction (EGJ), the endoscopic Hill c...

Mar 2025 40128700
Development and validation of a machine learning model to predict hemostatic intervention in patients with acute upper gastrointestinal bleeding.

BACKGROUND: Acute upper gastrointestinal bleeding (UGIB) is common in clinical practice and has a wi...

Mar 2025 40128792
Liver Tumor Prediction using Attention-Guided Convolutional Neural Networks and Genomic Feature Analysis.

The task of predicting liver tumors is critical as part of medical image analysis and genomics area ...

Mar 2025 40224145
Machine learning-based prediction of vesicoureteral reflux outcomes in infants under antibiotic prophylaxis.

We aimed to investigate the independent outcome predictors of continuous antibiotic prophylaxis (CAP...

Mar 2025 40121274
Application of machine learning models to identify predictors of good outcome after laparoscopic fundoplication.

BACKGROUND: Laparoscopic fundoplication remains the gold standard treatment for gastroesophageal ref...

Mar 2025 40122374
A risk prediction model for gastric cancer based on endoscopic atrophy classification.

BACKGROUNDS: Gastric cancer (GC) is a prevalent malignancy affecting the digestive system. We aimed ...

Mar 2025 40119304
Analysis of shared pathogenic mechanisms and drug targets in myocardial infarction and gastric cancer based on transcriptomics and machine learning.

BACKGROUND: Recent studies have suggested a potential association between gastric cancer (GC) and my...

Mar 2025 40191191
A CT-based deep learning-driven tool for automatic liver tumor detection and delineation in patients with cancer.

Liver tumors, whether primary or metastatic, significantly impact the outcomes of patients with canc...

Mar 2025 40118052
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