Gastroenterology

Inflammatory Bowel Disease

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

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Showing 211-231 of 2,051 articles
A Cohort Study Investigating Zearalenone Concentrations and Selected Steroid Levels in Patients with Sigmoid Colorectal Cancer or Colorectal Cancer.

THE AIM: In this study was to determine if sigmoid colorectal cancer (SCC) and colorectal cancer (CR...

CRPU-NET: a deep learning model based semantic segmentation for the detection of colorectal polyp in lower gastrointestinal tract.

. The objectives of the proposed work are twofold. Firstly, to develop a specialized light weight CR...

Current implications and challenges of artificial intelligence technologies in therapeutic intervention of colorectal cancer.

Irrespective of men and women, colorectal cancer (CRC), is the third most common cancer in the popul...

AN ELECTRONIC MEDICAL RECORD PREDICTION MODEL TO IDENTIFY INADEQUATE BOWEL PREPARATION IN PATIENTS AT OUTPATIENT COLONOSCOPY.

BACKGROUND AND AIMS: Inadequate bowel preparation during colonoscopy is associated with decreased ad...

A Machine Learning-Based Diagnostic Model for Crohn's Disease and Ulcerative Colitis Utilizing Fecal Microbiome Analysis.

Recent research has demonstrated the potential of fecal microbiome analysis using machine learning (...

Towards Semi-Autonomous Colon Screening Using an Electromagnetically Actuated Soft-Tethered Colonoscope Based on Visual Servo Control.

OBJECTIVE: Conventional colonoscopy using a flexible colonoscope remains two major limitations, incl...

Application of deep learning in the diagnosis and evaluation of ulcerative colitis disease severity.

BACKGROUND: Achieving endoscopic and histological remission is a critical treatment objective in ulc...

Development and validation of a three-dimensional deep learning-based system for assessing bowel preparation on colonoscopy video.

BACKGROUND: The performance of existing image-based training models in evaluating bowel preparation ...

Enhancing artificial intelligence-doctor collaboration for computer-aided diagnosis in colonoscopy through improved digital literacy.

Establishing appropriate trust and maintaining a balanced reliance on digital resources are vital fo...

Considerations and targeted approaches to identifying bad actors in exposure mixtures.

Variable importance is a key statistical issue in exposure mixtures, as it allows a ranking of expos...

Identifying risk factors of anti-TNF induced skin lesions and other adverse events in paediatric patients with inflammatory bowel disease.

OBJECTIVES: While higher infliximab (IFX) trough concentrations (TCs) are associated with better out...

Using Histologic Image Analysis to Understand Biophysical Regulations of Epithelial Cell Morphology.

Epithelial mechanics and mechanobiology have become 2 important research fields in life sciences and...

Effectiveness of strategies to suppress antibodies to infliximab in pediatric inflammatory bowel disease.

OBJECTIVES: Antibodies to infliximab (ATIs) are associated with loss of response in children with in...

Effects of Transcranial Direct Current Stimulation on Cognitive Deficits in Depression: A Systematic Review.

BACKGROUND: Major depressive disorder is the leading cause of mental health-related burden globally ...

A narrative review of digital biomarkers in the management of major depressive disorder and treatment-resistant forms.

INTRODUCTION: Depression is the leading cause of worldwide disability, until now only 3% of patients...

Vitamin D Deficiency in Patients Hospitalized for Heart Failure Living in the Tropics.

BACKGROUND AND OBJECTIVES: Vitamin D, as a steroid hormone, has multiple effects on human body and i...

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