Latest AI and machine learning research in hospital-based medicine for healthcare professionals.
Branchio-oto-renal (BOR) syndrome is an autosomal dominant disorder characterized by the coexistence...
Electronic health records (EHR) provide opportunities to leverage vast arrays of data to help preven...
Viral testing for pediatric inpatients with respiratory symptoms is common, with considerable associ...
Epstein-Barr virus (EBV) is associated with a wide range of malignancies and complications like post...
This study investigated the relationships among exercise capacity (EC), dynamic balance (DB), and ga...
The plastic hardener methyl ethyl ketone peroxide is unstable peroxide that releases free oxygen rad...
A 2-year-old girl, previously healthy, was brought to the emergency department because of significan...
The present study aims to compare the operative outcomes following the use of robot-assisted retrope...
. Laparoendoscopic rendezvous (LERV) technique is emerging as an attractive treatment option for con...
INTRODUCTION: The characteristics and outcomes of patients hospitalized with acute systolic heart fa...
BACKGROUND: Little is known about the relationship between chronic kidney disease (CKD) and minimall...
Feature engineering remains a major bottleneck when creating predictive systems from electronic medi...
BACKGROUND: Multidisciplinary team (MDT) meetings are used to optimise expert decision-making about ...
A girl aged six months was hospitalized because of resistant seizures and was discharged with phenob...
BACKGROUND: Ileostomy creation is associated with postoperative dehydration and readmission; however...
Background There are limited data regarding the risks of cardiac surgery early after coronary angiog...
Minimally invasive surgery has gained increasing acceptance over the last few years, which has expan...
The ability to predict psychiatric readmission would facilitate the development of interventions to ...
Muscle spindle discharge during active movement is a function of mechanical and neural parameters. M...
Natural language processing (NLP) and machine learning were used to predict suicidal ideation and he...
UNLABELLED: Heart failure and preserved ejection fraction (HFpEF) is defined as heart failure sympto...