Gastroenterology

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

7,604 articles
Stay Ahead - Weekly Gastroenterology research updates
Subscribe
Browse Categories
Showing 5146-5166 of 7,604 articles
A Novel Method for Classifying Liver and Brain Tumors Using Convolutional Neural Networks, Discrete Wavelet Transform and Long Short-Term Memory Networks.

Rapid classification of tumors that are detected in the medical images is of great importance in the...

Apr 2019 31035406
Prediction of response after chemoradiation for esophageal cancer using a combination of dosimetry and CT radiomics.

PURPOSE: To investigate the treatment response prediction feasibility and accuracy of an integrated ...

Apr 2019 31028447
Association of nonalcoholic fatty liver and chronic kidney disease: An analysis of 37,825 cases from health checkup center in Taiwan.

OBJECTIVE: Nonalcoholic fatty liver (NAFLD) and chronic kidney disease (CKD) share common pathogenic...

Apr 2019 32110523
Deep learning for liver tumor diagnosis part I: development of a convolutional neural network classifier for multi-phasic MRI.

OBJECTIVES: To develop and validate a proof-of-concept convolutional neural network (CNN)-based deep...

Apr 2019 31016442
Deep Q Learning Driven CT Pancreas Segmentation With Geometry-Aware U-Net.

The segmentation of pancreas is important for medical image analysis, yet it faces great challenges ...

Apr 2019 30998461
Development of Simplified in Vitro P-Glycoprotein Substrate Assay and in Silico Prediction Models To Evaluate Transport Potential of P-Glycoprotein.

For efficient drug discovery and screening, it is necessary to simplify P-glycoprotein (P-gp) substr...

Apr 2019 30933526
Temporal stability assessment in shear wave elasticity images validated by deep learning neural network for chronic liver disease fibrosis stage assessment.

PURPOSE: To automatically detect and isolate areas of low and high stiffness temporal stability in s...

Apr 2019 30929260
Predicting daily outcomes in acetaminophen-induced acute liver failure patients with machine learning techniques.

BACKGROUND/OBJECTIVE: Assessing prognosis for acetaminophen-induced acute liver failure (APAP-ALF) p...

Apr 2019 31104700
Statistical characterization and classification of colon microarray gene expression data using multiple machine learning paradigms.

OBJECTIVE: A colon microarray data is a repository of thousands of gene expressions with different s...

Apr 2019 31200905
Identifying Factors That Affect Patient Survival After Orthotopic Liver Transplant Using Machine-Learning Techniques.

OBJECTIVES: Survival after liver transplant depends on pretransplant, peritransplant, and posttransp...

Apr 2019 30968757
Improving Outcomes Defending Patient Safety: The Learning Journey in Robotic Liver Resections.

BACKGROUND: While laparoscopy is currently adopted for hepatic resections, robotic approaches to the...

Apr 2019 31080809
Robot-Assisted Simple Prostatectomy: Illustration of a Simplified Extraperitoneal Transcapsular Technique.

Robot-assisted simple prostatectomy (RASP) performed with the extraperitoneal (EP) technique (RASP-...

Apr 2019 32280559
Improving Automatic Polyp Detection Using CNN by Exploiting Temporal Dependency in Colonoscopy Video.

Automatic polyp detection has been shown to be difficult due to various polyp-like structures in the...

Apr 2019 30946683
Automated classification of hepatocellular carcinoma differentiation using multiphoton microscopy and deep learning.

In the case of hepatocellular carcinoma (HCC) samples, classification of differentiation is crucial ...

Apr 2019 30868728
Booster immunity - diagnosis of chronic hepatitis B viral infection.

INTRODUCTION: Diagnosis of chronic hepatitis B virus (HBV) infection particularly its occult form re...

Mar 2019 32040457
Diagnosis of focal liver lesions from ultrasound using deep learning.

PURPOSE: The purpose of this study was to create an algorithm that simultaneously detects and charac...

Mar 2019 30926443
Quality assurance of computer-aided detection and diagnosis in colonoscopy.

Recent breakthroughs in artificial intelligence (AI), specifically via its emerging sub-field "deep ...

Mar 2019 30926431
An artificial neural network model for prediction of hypoxemia during sedation for gastrointestinal endoscopy.

OBJECTIVE: This study was designed to assess clinical predictors of hypoxemia and develop an artific...

Mar 2019 30913936
Appetite ratings of foods are predictable with an in vitro advanced gastrointestinal model in combination with an in silico artificial neural network.

The expected increase of global obesity prevalence makes it necessary to have information about the ...

Mar 2019 31229132
Browse Categories