Gastroenterology

Inflammatory Bowel Disease

Latest AI and machine learning research in inflammatory bowel disease for healthcare professionals.

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Showing 106-126 of 2,051 articles
Plasma Epstein-Barr Virus DNA load for diagnostic and prognostic assessment in intestinal Epstein-Barr Virus infection.

BACKGROUND: The prospective application of plasma Epstein-Barr virus (EBV) DNA load as a noninvasive...

[Telemedicine and AI-supported diagnostics in the daily routine of visceral medicine].

Advances in telemedicine, exemplified by augmented reality (AR) and virtual reality (VR), are rapidl...

Current Status of Artificial Intelligence Use in Colonoscopy.

BACKGROUND: Artificial intelligence (AI) has significantly impacted medical imaging, particularly in...

Single-Cell Sequencing and Machine Learning Integration to Identify Candidate Biomarkers in Psoriasis: .

BACKGROUND: Psoriasis represents a persistent, immune-driven inflammatory condition affecting the sk...

Mapping two decades of research in rheumatology-specific journals: a topic modeling analysis with BERTopic.

BACKGROUND: Rheumatology has experienced notable changes in the last decades. New drugs, including b...

A clinical pilot trial of an artificial intelligence-driven smart phone application of bowel preparation for colonoscopy: a randomized clinical trial.

BACKGROUND: High-quality bowel preparation is paramount for a successful colonoscopy. This study aim...

Integrating single-cell RNA-Seq and machine learning to dissect tryptophan metabolism in ulcerative colitis.

BACKGROUND: Ulcerative colitis (UC) is a persistent inflammatory bowels disease (IBD) characterized ...

Machine-learning derived identification of prognostic signature to forecast head and neck squamous cell carcinoma prognosis and drug response.

INTRODUCTION: Head and neck squamous cell carcinoma (HNSCC), a highly heterogeneous malignancy is of...

Unravelling metabolite-microbiome interactions in inflammatory bowel disease through AI and interaction-based modelling.

Inflammatory Bowel Diseases (IBDs) are chronic inflammatory disorders of the gastrointestinal tract ...

Deep learning-assisted colonoscopy images for prediction of mismatch repair deficiency in colorectal cancer.

BACKGROUND: Deficient mismatch repair or microsatellite instability is a major predictive biomarker ...

Surgical Insight-guided Deep Learning for Colorectal Lesion Management.

BACKGROUND: Colonoscopy stands as a pivotal diagnostic tool in identifying gastrointestinal diseases...

Cost-Effectiveness for Artificial Intelligence in Colonoscopy.

Artificial intelligence (AI) is set to transform the field of colonoscopy through the implementation...

Role of Artificial Intelligence for Colon Polyp Detection and Diagnosis and Colon Cancer.

The broad use of artificial intelligence (AI) and its various applications have already shown signif...

Artificial Intelligence in Inflammatory Bowel Disease.

Artificial intelligence (AI) is being increasingly studied and implemented in gastroenterology. In i...

CLMS: Bridging domain gaps in medical imaging segmentation with source-free continual learning for robust knowledge transfer and adaptation.

Deep learning shows promise for medical image segmentation but suffers performance declines when app...

A Multicenter Evaluation of the Impact of Therapies on Deep Learning-Based Electrocardiographic Hypertrophic Cardiomyopathy Markers.

Artificial intelligence-enhanced electrocardiography (AI-ECG) can identify hypertrophic cardiomyopat...

Federated Learning for Predicting Postoperative Remission of Patients with Acromegaly: A Multicentered Study.

BACKGROUND: Decentralized federated learning (DFL) may serve as a useful framework for machine learn...

In vivo evaluation of complex polyps with endoscopic optical coherence tomography and deep learning during routine colonoscopy: a feasibility study.

Standard-of-care (SoC) imaging for assessing colorectal polyps during colonoscopy, based on white-li...

Interpretable machine learning uncovers epithelial transcriptional rewiring and a role for Gelsolin in COPD.

Transcriptomic analyses have advanced the understanding of complex disease pathophysiology including...

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