Latest AI and machine learning research in diabetes for healthcare professionals.
BACKGROUND AND AIMS: Diabetes has been recognized as a continuing health challenge for the twenty-fi...
Conventional glucose monitoring methods for the growing numbers of diabetic patients around the worl...
Chronic diseases represent a serious threat to public health across the world. It is estimated at ab...
In the early diagnosis of diabetic retinopathy, the morphological attributes of blood vessels play a...
Nocturnal hypoglycemia is a serious complication of insulin-treated diabetes, which commonly goes un...
Widespread adoption of electronic health records (EHRs) has resulted in the collection of massive am...
BACKGROUND AND OBJECTIVES: Glycemic control with unannounced meals is the major challenge for artifi...
BACKGROUND/AIMS: To assess the performance of a deep learning classifier for differentiation of glau...
BACKGROUND AND OBJECTIVE: Many studies regarding health analysis request structured datasets but the...
Glucose-6-Phosphate Dehydrogenase (G6PD) is a ubiquitous cytoplasmic enzyme converting glucose-6-pho...
Due to the busy schedule of every human being in today's world, consciousness towards one's health h...
BACKGROUND AND OBJECTIVE: Diabetic retinopathy (DR), which is generally diagnosed by the presence of...
PURPOSE: Retinopathy of prematurity (ROP), a leading cause of childhood blindness, is diagnosed by c...
Retinopathy of prematurity (ROP) is a leading cause of childhood blindness worldwide. The diagnosis ...
UNLABELLED: Diabetic Macular Edema (DME) is an advanced stage of Diabetic Retinopathy (DR) and can l...
Achieving glycemic control in critical care patients is of paramount importance, and has been linke...
OBJECTIVE: To construct and internally validate prediction models to estimate the risk of long-term ...
PURPOSE OF REVIEW: Machine learning (ML) is increasingly being studied for the screening, diagnosis,...
Recently, combining feature extraction and classification method of electroencephalogram (EEG) signa...
In the last decades, large datasets of fundus photographs have been collected in diabetic retinopath...
PURPOSE: To develop a deep learning approach based on deep residual neural network (ResNet101) for t...