Latest AI and machine learning research in gastroenterology for healthcare professionals.
SUMMARY: Gene-based supervised machine learning classification models have been widely used to diffe...
This study sought to investigate genes related to recurrent risk and establish a support vector mach...
In 2014, we reported a model for donor-recipient (D-R) matching in liver transplantation (LT) based ...
Electronic cleansing (EC) is used for computational removal of residual feces and fluid tagged with ...
PURPOSE: To report a single surgeon series of consecutive robotic right colectomies (RRC) performed ...
The gap between domain experts and natural language processing expertise is a barrier to extracting ...
OBJECTIVE: Previous studies have shown that women carry a higher risk of morbidity and mortality aft...
BACKGROUND: An increasing amount of attention has been paid to minimally invasive function-preservin...
: Fatty liver disease (FLD) is considered the most prevalent form of chronic liver disease worldwide...
Optical navigation systems help surgeons find their way through the complex anatomy of a patient. Ho...
Digestive endoscopies, along with all medical procedures in France are coded with the CCAM. This tas...
OBJECTIVE: The aim of the study was to identify factors influencing infliximab (IFX) trough levels (...
BACKGROUND AND STUDY AIMS: In an exploratory study we compared a new regimen of low-volume polyethyl...
AIM: : To assess the effectiveness of abdominal compression in reducing internal target motion durin...
OBJECTIVES.: To produce recombinant single-chain antibodies from alpaca that will bind to the excret...
BACKGROUND: The infection for the hepatitis C virus (HCV) is a leading cause of liver-related morbid...
BACKGROUND: Cerebral palsy may be associated with comorbidities such as undernutrition, impaired gro...
Fomitopsis pinicola (Sw.) P. Karst. (Fomitopsidaceae) is a medicinal mushroom with a variety of heal...