Latest AI and machine learning research in diabetes for healthcare professionals.
BACKGROUND: Alzheimer's disease (AD) is one of the most common lethal neurodegenerative disorders ha...
In healthcare, applying deep learning models to electronic health records (EHRs) has drawn considera...
Metformin as an oral antidiabetic drug (OAD) is not recommended in renal failure due to the presumed...
Patients with end-stage renal disease (ESRD) continue to increase in number worldwide, especially in...
Testing for proteinuria is used to screen for diabetic nephropathy. However, significant proportion ...
Chronic kidney disease (CKD) is a public health priority worldwide; however, its prevalence and inci...
This paper mainly focuses on the deep learning application in classifying the stage of diabetic reti...
A previously healthy 24 yo male presented with a two-month history of epigastric pain, nausea, vomit...
The aim of this study was to compare the effect of intravitreal diclofenac, a non-steroidal anti-inf...
IMPORTANCE: Deep learning is a family of computational methods that allow an algorithm to program it...
BACKGROUND: Metabolic surgery for obese patients with type 2 diabetes (T2D) yields short- and long-t...
BACKGROUND: Adiponectin is an important adipocyte-related protein that has been postulated to partic...
Signaling AMP-activated protein kinase (AMPK), an energy sensing enzyme, has been implicated in cont...
AIM: The aim of this study is to survey the effect of Helicobacter Pylori on metabolic syndrome para...
AIM: The aim was to examine risk factors for hearing impairment among Hispanic/Latino adults with di...
BACKGROUND: Arterial stiffness is associated with increased risk for cardiovascular disease. The pur...
Extensive studies have been performed on acute mountain sickness (AMS), but biomarkers predicting AM...
PURPOSE: To compare performance of a deep-learning enhanced algorithm for automated detection of dia...
BACKGROUND: Considerable evidence suggests that oxidative stress affects diabetes mellitus (DM) and ...
This paper describes the design and characterization of a reconfigurable, multi-technique electroche...