Latest AI and machine learning research in gastroenterology for healthcare professionals.
PURPOSE: Accurate segmentation of rectal tumors is a basic and crucial task for diagnosis and treatm...
Rapid classification of tumors that are detected in the medical images is of great importance in the...
PURPOSE: To investigate the treatment response prediction feasibility and accuracy of an integrated ...
OBJECTIVE: Nonalcoholic fatty liver (NAFLD) and chronic kidney disease (CKD) share common pathogenic...
OBJECTIVES: To develop and validate a proof-of-concept convolutional neural network (CNN)-based deep...
The segmentation of pancreas is important for medical image analysis, yet it faces great challenges ...
For efficient drug discovery and screening, it is necessary to simplify P-glycoprotein (P-gp) substr...
PURPOSE: To automatically detect and isolate areas of low and high stiffness temporal stability in s...
BACKGROUND/OBJECTIVE: Assessing prognosis for acetaminophen-induced acute liver failure (APAP-ALF) p...
OBJECTIVE: A colon microarray data is a repository of thousands of gene expressions with different s...
OBJECTIVES: Survival after liver transplant depends on pretransplant, peritransplant, and posttransp...
BACKGROUND: While laparoscopy is currently adopted for hepatic resections, robotic approaches to the...
Robot-assisted simple prostatectomy (RASP) performed with the extraperitoneal (EP) technique (RASP-...
INTRODUCTION: Open Simple Enucleation (OSE) has been demonstrated to be an oncologically safe altern...
Automatic polyp detection has been shown to be difficult due to various polyp-like structures in the...
In the case of hepatocellular carcinoma (HCC) samples, classification of differentiation is crucial ...
INTRODUCTION: Diagnosis of chronic hepatitis B virus (HBV) infection particularly its occult form re...
PURPOSE: The purpose of this study was to create an algorithm that simultaneously detects and charac...
Recent breakthroughs in artificial intelligence (AI), specifically via its emerging sub-field "deep ...
OBJECTIVE: This study was designed to assess clinical predictors of hypoxemia and develop an artific...
The expected increase of global obesity prevalence makes it necessary to have information about the ...