Gastroenterology

Inflammatory Bowel Disease

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

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Showing 43-63 of 2,051 articles
Fecal gut microbiota and amino acids as noninvasive diagnostic biomarkers of Pediatric inflammatory bowel disease.

BACKGROUND AND AIMS: Fecal calprotectin (FCP) has limited specificity as diagnostic biomarker of ped...

Evaluating large language models for information extraction from gastroscopy and colonoscopy reports through multi-strategy prompting.

OBJECTIVE: To systematically evaluate large language models (LLMs) for automated information extract...

Deep learning model applied to real-time delineation of colorectal polyps.

BACKGROUND: Deep learning models have shown considerable potential to improve diagnostic accuracy ac...

Artificial intelligence in endoscopy and colonoscopy: a comprehensive bibliometric analysis of global research trends.

BACKGROUND: Artificial intelligence (AI) has revolutionized the field of gastroenterology, particula...

Mild to moderate COPD, vitamin D deficiency, and longitudinal bone loss: the Multi-ethnic Study of Atherosclerosis.

OBJECTIVE: Despite the established association between chronic obstructive pulmonary disease (COPD) ...

Machine Learning for Predicting Colorectal Cancer and Advanced Colorectal Polyps: A Systematic Review and Meta-Analysis.

INTRODUCTION: Machine learning (ML) has become increasingly pivotal in health care, particularly in ...

Gastrointestinal microbiota and inflammasomes interplay in health and disease: a gut feeling.

The intricate interplay between the gut microbiota and the GI tract has garnered significant attenti...

Clinical significance of computer-aided quality assessment systems in colonoscopy: a comprehensive review.

Colonoscopy is the primary tool for colorectal cancer screening. High-quality colonoscopy is crucial...

Assessing ChatGPT responses to patient questions on epidural steroid injections: A comparative study of general vs specific queries.

BACKGROUND: Artificial intelligence (AI) is becoming more integrated into healthcare, with large lan...

[Psilocybin in the setting of treatment-resistant unipolar depression: A case report].

BACKGROUND: Current antidepressants have shown certain limitations in the treatment of unipolar depr...

Guideline-driven clinical decision support for colonoscopy patients using the hierarchical multi-label deep learning method.

BACKGROUND: Over 20 million colonoscopies are performed in China annually. An automatic clinical dec...

Construction of a predictive model for relapse of primary autoimmune hemolytic anemia: a retrospective cohort study.

OBJECTIVES: To develop a machine learning-based model to predict the relapse risk of Primary Autoimm...

Diagnostic Methods and Biomarkers in Inflammatory Bowel Disease.

Inflammatory bowel disease (IBD) refers to a chronic inflammatory condition involving the GI tract t...

Computer-aided diagnosis of colorectal polyps: assisted or autonomous?

Computer-aided diagnosis (CADx) in colonoscopy aims to improve the accuracy of diagnosing small poly...

The Desmoid Dilemma: Challenges and Opportunities in Assessing Tumor Burden and Therapeutic Response.

Desmoid tumors are rare, locally invasive soft-tissue tumors with unpredictable clinical behavior. I...

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