Gastroenterology

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

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Showing 6364-6384 of 7,631 articles
Machine learning model using immune indicators to predict outcomes in early liver cancer.

BACKGROUND: Patients with early-stage hepatocellular carcinoma (HCC) generally have good survival ra...

Feb 2025 39926221
Enhanced Feature-based Image Stitching for Endoscopic Videos in Pediatric Eosinophilic Esophagitis

Video endoscopy represents a major advance in the investigation of gastrointestinal diseases. Revi...

Expanding Training Data for Endoscopic Phenotyping of Eosinophilic Esophagitis

Eosinophilic esophagitis (EoE) is a chronic esophageal disorder marked by eosinophil-dominated inf...

MetaFE-DE: Learning Meta Feature Embedding for Depth Estimation from Monocular Endoscopic Images

Depth estimation from monocular endoscopic images presents significant challenges due to the compl...

A Temporal Convolutional Network-Based Approach and a Benchmark Dataset for Colonoscopy Video Temporal Segmentation

Following recent advancements in computer-aided detection and diagnosis systems for colonoscopy, t...

Machine learning and metabolomics identify biomarkers associated with the disease extent of ulcerative colitis.

BACKGROUND AND AIMS: Ulcerative colitis (UC) is a metabolism-related chronic intestinal inflammatory...

Feb 2025 39903649
Prevalence, incidence, and mortality of inflammatory bowel disease in the Netherlands: development and external validation of machine learning models.

BACKGROUND AND AIMS: Large registries are promising tools to study the epidemiology of inflammatory ...

Feb 2025 39945210
Agent-Based Uncertainty Awareness Improves Automated Radiology Report Labeling with an Open-Source Large Language Model

Reliable extraction of structured data from radiology reports using Large Language Models (LLMs) r...

TMI-CLNet: Triple-Modal Interaction Network for Chronic Liver Disease Prognosis From Imaging, Clinical, and Radiomic Data Fusion

Chronic liver disease represents a significant health challenge worldwide and accurate prognostic ...

Prostate-Specific Foundation Models for Enhanced Detection of Clinically Significant Cancer

Accurate prostate cancer diagnosis remains challenging. Even when using MRI, radiologists exhibit ...

Deep learning-based classifier for carcinoma of unknown primary using methylation quantitative trait loci.

Cancer of unknown primary (CUP) constitutes between 2% and 5% of human malignancies and is among the...

Feb 2025 39607989
Development and Validation of a Novel Model to Discriminate Idiosyncratic Drug-Induced Liver Injury and Autoimmune Hepatitis.

BACKGROUND AND AIM: Discriminating between idiosyncratic drug-induced liver injury (DILI) and autoim...

Feb 2025 39817622
Hepatitis C Virus Saint Petersburg Variant Detection With Machine Learning Methods.

Hepatitis C virus infection is a significant global health concern, affecting millions worldwide. Al...

Feb 2025 39957585
Identification and Validation of Biomarkers in Metabolic Dysfunction-Associated Steatohepatitis Using Machine Learning and Bioinformatics.

BACKGROUND: The incidence of metabolic dysfunction-associated steatohepatitis (MASH) is increasing a...

Feb 2025 39995143
Exploring Transfer Learning for Deep Learning Polyp Detection in Colonoscopy Images Using YOLOv8

Deep learning methods have demonstrated strong performance in objection tasks; however, their abil...

Influence of color correction on pathology detection in Capsule Endoscopy

Pathology detection in Wireless Capsule Endoscopy (WCE) using deep learning has been explored in t...

Advancing Dense Endoscopic Reconstruction with Gaussian Splatting-driven Surface Normal-aware Tracking and Mapping

Simultaneous Localization and Mapping (SLAM) is essential for precise surgical interventions and r...

REMOTE: Real-time Ego-motion Tracking for Various Endoscopes via Multimodal Visual Feature Learning

Real-time ego-motion tracking for endoscope is a significant task for efficient navigation and rob...

Aggregation Schemes for Single-Vector WSI Representation Learning in Digital Pathology

A crucial step to efficiently integrate Whole Slide Images (WSIs) in computational pathology is as...

An Exceptional Dataset For Rare Pancreatic Tumor Segmentation

Pancreatic NEuroendocrine Tumors (pNETs) are very rare endocrine neoplasms that account for less t...

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