Gastroenterology

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

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The impact of multipollutant exposure on hepatic steatosis: a machine learning-based investigation into multipollutant synergistic effects.

INTRODUCTION: This study examines the synergistic effects of multi-pollutant exposure on hepatic lip...

Jan 2025 40475202
XLLC-Net: A lightweight and explainable CNN for accurate lung cancer classification using histopathological images.

Lung cancer imaging plays a crucial role in early diagnosis and treatment, where machine learning an...

Jan 2025 40445896
Deep learning reconstruction of free-breathing, diffusion-weighted imaging of the liver: A comparison with conventional free-breathing acquisition.

This study aimed to compare image quality and solid focal liver lesion (FLL) assessments between fre...

Jan 2025 40445963
Identification of hub gene for the pathogenic mechanism and diagnosis of MASLD by enhanced bioinformatics analysis and machine learning.

Metabolic dysfunction-associated steatotic liver disease (MASLD) is a heterogeneous disease caused b...

Jan 2025 40435176
Artificial Intelligence in Endoscopy for Predicting Helicobacter pylori Infection: A Systematic Review and Meta-Analysis.

PURPOSE: This meta-analysis aimed to assess the diagnostic performance of artificial intelligence (A...

Jan 2025 40116054
Big Data and Artificial Intelligence in Drug Discovery for Gastric Cancer: Current Applications and Future Perspectives.

Gastric cancer (GC) represents a significant global health burden, ranking as the fifth most common ...

Jan 2025 37711014
Reducing diagnostic delays in acute hepatic porphyria using health records data and machine learning.

BACKGROUND: Acute hepatic porphyria (AHP) is a group of rare but treatable conditions associated wit...

Jan 2025 38946554
Enhancing liver tumor segmentation with UNet-ResNet: Leveraging ResNet's power.

BACKGROUND: Liver cancer poses a significant health challenge due to its high incidence rates and co...

Jan 2025 39240595
RSNA 2023 Abdominal Trauma AI Challenge: Review and Outcomes.

Purpose To evaluate the performance of the winning machine learning models from the 2023 RSNA Abdomi...

Jan 2025 39503604
Construction of a Multi-View Deep Learning Model for the Severity Classification of Acute Pancreatitis.

BACKGROUND: Acute pancreatitis (AP) is a prevalent pathological condition of abdomen characterized b...

Jan 2025 39851225
Analyzing Demographic Grocery Purchase Patterns in Kenyan Supermarkets Through Unsupervised Learning Techniques.

Kenya is experiencing a significant increase in the prevalence of non-communicable diseases (NCDs) s...

Jan 2025 39995025
Swallowable, Remote- Controlled Robot Tours the Stomach, Transmits Live Video.

A pill-sized remote-operated vehicle that takes and transmits live video of the inside of a person's...

Jan 2025 40031530
Self-supervised learning framework for efficient classification of endoscopic images using pretext tasks.

Identifying anatomical landmarks in endoscopic video frames is essential for the early diagnosis of ...

Jan 2025 40341783
Predicting neoadjuvant chemotherapy response in locally advanced gastric cancer using a machine learning model combining radiomics and clinical biomarkers.

RATIONALE AND OBJECTIVES: Neoadjuvant chemotherapy (NAC) is a promising therapeutic strategy for man...

Jan 2025 40351845
Unified dimensionality reduction techniques in chronic liver disease detection

Globally, chronic liver disease continues to be a major health concern that requires precise predi...

Diagnostic Performance of Deep Learning Applications in Hepatocellular Carcinoma Detection Using Computed Tomography Imaging.

Hepatocellular carcinoma (HCC) is a prevalent cancer that significantly contributes to mortality glo...

Dec 2024 39760649
Segmentation of Muscularis Propria in Colon Histopathology Images Using Vision Transformers for Hirschsprung's Disease

Hirschsprung's disease (HD) is a congenital birth defect diagnosed by identifying the lack of gang...

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