Latest AI and machine learning research in diabetes for healthcare professionals.
BACKGROUND: Machine Learning (ML) represents a rapidly growing technology that supplies the most eff...
The use of sodium-glucose co-transporter 2 inhibitors to treat heart failure with preserved ejection...
Diabetic retinopathy (DR) is the main cause of blindness in diabetic patients. Early and accurate di...
Cupping of the optic nerve head, a highly heritable trait, is a hallmark of glaucomatous optic neuro...
Acute and chronic wounds are a challenge to healthcare systems around the world and affect many peop...
Diabetes is a faction of metabolic ailments distinguished by hyperglycemia which is the consequence ...
Diabetic retinopathy occurs as a result of the harmful effects of diabetes on the eyes. Diabetic ret...
Retinal screening contributes to early detection of diabetic retinopathy and timely treatment. To fa...
Prediabetes and diabetes mellitus (preDM/DM) have become alarmingly prevalent among youth in recent ...
Diabetic retinopathy (DR) is a disease resulting from diabetes complications, causing non-reversible...
Few studies have been conducted to classify and predict the influence of nutritional intake on overw...
The prevalence of prediabetes is rapidly increasing, and this can lead to an increased risk for indi...
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...
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: A retinopathy of prematurity (ROP) diagnosis currently relies on indirect ophthalmoscopy...
IMPORTANCE: Systems-level barriers to diabetes care could be improved with population health plannin...
Our study investigated the feasibility and clinical relevance of brain age prediction using axial T2...