Latest AI and machine learning research in diabetes for healthcare professionals.
PURPOSE: To assess the potential of machine learning to predict low and high treatment demand in rea...
Advancing continuous health monitoring beyond vital signs to biochemistry will revolutionize persona...
Self-tracking can help personalize self-management interventions for chronic conditions like type 2 ...
Electronic skins that can sense external stimuli have been of great significance in artificial intel...
Diabetic retinopathy (DR) is a leading cause of blindness and affects millions of people throughout ...
INTRODUCTION: Recent studies have reported that HbA1c and lipid variability is useful for risk strat...
Recently, many researchers have designed various automated diagnosis models using various supervised...
IMPORTANCE: Systems-level barriers to diabetes care could be improved with population health plannin...
IMPORTANCE: A retinopathy of prematurity (ROP) diagnosis currently relies on indirect ophthalmoscopy...
Our study investigated the feasibility and clinical relevance of brain age prediction using axial T2...
In this study, we propose a technique for diagnosing both type 1 and type 2 diabetes in a quick, non...
BACKGROUND: Genotype-phenotype predictions are of great importance in genetics. These predictions ca...
Understanding patient accumulation of comorbidities can facilitate healthcare strategy and personali...
AIM: Predicting progression in diabetic kidney disease (DKD) is critical to improving outcomes. We s...
BACKGROUND: Systematic Reviews (SR), studies of studies, use a formal process to evaluate the qualit...
Novel photoactive and enzymatically active nanomotors were developed for efficient organic pollutant...
PURPOSE: To evaluate the effect of intravitreal injection of ranibizumab (IVR) on subfoveal choroida...
Type 2 diabetes mellitus (T2D) prevalence in the United States varies substantially across spatial a...
 The aim of this study was to detect the most important risk factors for recurrence after microwave...
The World Health Organization (WHO) estimated that in 2016, 1.6 million deaths caused were due to di...
Errors in medication self-administration (MSA) lead to poor treatment adherence, increased hospitali...