Gastroenterology

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

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Untethered shape-changing devices in the gastrointestinal tract.

INTRODUCTION: Advances in microfabrication, automation, and computer engineering seek to revolutioni...

Artificial Intelligence Evaluation of Stool Quality Guides Management of Hepatic Encephalopathy Using a Smartphone App.

Lactulose-based hepatic encephalopathy treatment requires bowel movements/day titration, which is im...

Regulatory effects of mangiferin on LPS-induced inflammatory responses and intestinal flora imbalance during sepsis.

Studies suggest that mangiferin (MAF) has good therapeutic effects on chronic bronchitis and hepatit...

Anti-infliximab antibodies and low infliximab levels correlate with drug discontinuation in pediatric inflammatory bowel disease.

BACKGROUND: Infliximab (IFX) use is limited by loss of response often due to the development of anti...

Addressing diagnostic dilemmas in eosinophilic esophagitis using esophageal epithelial eosinophil-derived neurotoxin.

OBJECTIVES: Eosinophil-derived neurotoxin (EDN) is a viable marker of eosinophilic esophagitis (EoE)...

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...

The Evolving Role of Artificial Intelligence in Gastrointestinal Histopathology: An Update.

Significant advances in artificial intelligence (AI) over the past decade potentially may lead to dr...

Deep Learning Prediction Boosts Phosphoproteomics-Based Discoveries Through Improved Phosphopeptide Identification.

Shotgun phosphoproteomics enables high-throughput analysis of phosphopeptides in biological samples....

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...

Machine Learning Combined with Radiomics Facilitating the Personal Treatment of Malignant Liver Tumors.

In the realm of managing malignant liver tumors, the convergence of radiomics and machine learning h...

Evaluating the role of ChatGPT in gastroenterology: a comprehensive systematic review of applications, benefits, and limitations.

BACKGROUND: The integration of artificial intelligence (AI) into healthcare has opened new avenues f...

Automatic liver segmentation and assessment of liver fibrosis using deep learning with MR T1-weighted images in rats.

OBJECTIVES: To validate the performance of nnU-Net in segmentation and CNN in classification for liv...

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 (...

Postbiotic Activities of : Impacts on Viability, Structural Integrity, and Cell Death Markers in Human Intestinal C2BBe1 Cells.

Acute diarrheal disease (ADD) caused by rotavirus (RV) contributes significantly to morbidity and mo...

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...

Isolation and Pathogenicity Analysis of a G5P[23] Porcine Rotavirus Strain.

(1) Background: Group A rotaviruses (RVAs) are the primary cause of severe intestinal diseases in pi...

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