AI Medical Compendium Journal:
Journal of gastrointestinal and liver diseases : JGLD

Showing 1 to 5 of 5 articles

Machine Learning Models predicting Decompensation in Cirrhosis.

Journal of gastrointestinal and liver diseases : JGLD Mar 27, 2025
BACKGROUND AND AIMS: Decompensation of cirrhosis significantly decreases survival, thus, prevention of complications is paramount. We used machine learning techniques to identify parameters predicting decompensation.
Humans Machine Learning Decision Support Techniques Databases, Factual Prospective Studies Biomarkers Prognosis Retrospective Studies Female Risk Factors Aged Male Middle Aged Risk Assessment Liver Cirrhosis Support Vector Machine Predictive Value of Tests Bilirubin Proof of Concept Study
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Applications of Artificial Intelligence in the Automatic Diagnosis of Focal Liver Lesions: A Systematic Review.

Journal of gastrointestinal and liver diseases : JGLD Apr 1, 2023
BACKGROUND AND AIMS: Focal liver lesions (FLLs) are defined as abnormal solid or liquid masses differentiated from normal liver, frequently being clinically asymptomatic. The aim of this systematic review is to provide a comprehensive overview of cur...
Humans Artificial Intelligence Ultrasonography Liver Neoplasms Magnetic Resonance Imaging
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A Primer into the Current State of Artificial Intelligence in Gastroenterology.

Journal of gastrointestinal and liver diseases : JGLD Jun 12, 2022
Artificial intelligence (AI) is not a new idea or field of research. However, recent advancements in computing technology as well as increasing worldwide experience in applying AI to various fields have enabled us to hope that applying it to the medi...
Humans Artificial Intelligence Algorithms Prospective Studies Retrospective Studies Gastroenterology
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Deep Learning Algorithm for the Confirmation of Mucosal Healing in Crohn's Disease, Based on Confocal Laser Endomicroscopy Images.

Journal of gastrointestinal and liver diseases : JGLD Mar 12, 2021
BACKGROUND AND AIMS: Mucosal healing (MH) is associated with a stable course of Crohn's disease (CD) which can be assessed by confocal laser endomicroscopy (CLE). To minimize the operator's errors and automate assessment of CLE images, we used a deep...
Humans Algorithms Deep Learning Microscopy, Confocal Inflammation Intestinal Mucosa Crohn Disease Lasers
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Digital Gastroenterology.

Journal of gastrointestinal and liver diseases : JGLD Dec 12, 2020
Humans Artificial Intelligence Forecasting Electronic Health Records Gastroenterology Biosensing Techniques Mobile Applications Remote Sensing Technology Telemedicine Diffusion of Innovation Digital Technology
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