Latest AI and machine learning research in metabolic syndrome for healthcare professionals.
Wood identification is a key step in the enforcement of laws and regulations aimed at combatting ill...
A 70s woman with a history of asthma and dyslipidemia underwent a robot-assisted abdominoperineal re...
AIMS: To test the hypothesis that deep learning (DL) networks reliably detect pulmonary arterial hyp...
The long-term split renal function after robot-assisted partial nephrectomy (RAPN) is yet to be elu...
IMPORTANCE: Automated deep learning (DL) analyses of fundus photographs potentially can reduce the c...
MicroRNAs constitute small non-coding RNAs that play a pivotal role in regulating the translation an...
Coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-...
Vitamin D plays a protective role against COVID-19. Patients with deficiency of vitamin D are more p...
This work aims to explore risk factors for ischemic stroke in young adults and analyze the Tradition...
The advancement of investigation tools and electronic health records (EHR) enables a paradigm shift ...
Obesity is accompanied by several disorders. This study investigated the role of chronic renal disea...
Hepatitis C virus (HCV) contributed as a risk factor for chronic kidney disease (CKD). Many studies ...
Current diagnostic methods for colorectal cancer (CRC) are colonoscopy and sigmoidoscopy, which are...
Objective Asymptomatic carotid stenosis (ACS) is closely associated to the incidence of severe cereb...
A method was established for the determination of -nitrosodimethylamine (NDMA) in metformin hydrochl...
Prevention and treatment of hypertension (HTN) are a challenging public health problem. Recent evide...
This study aimed to diagnose the incidence of restless leg syndrome (RLS) in patients with diabetes ...
Clinical text classification is an indispensable and extensively studied problem in medical text pro...
INTRODUCTION: Prevalence of overweight and obesity are increas- ing in the last decades, and with th...
The radiologic community is rapidly integrating a revolution that has not fully entered daily practi...