Latest AI and machine learning research in diabetes for healthcare professionals.
Ulnar nerve compression at the cubital tunnel is the second commonest upper limb neuropathy. Unlike...
PURPOSE: To understand the impact of deep learning diabetic retinopathy (DR) algorithms on physician...
We describe a case of biopsy-proven dabigatran related nephropathy in a patient without underlying I...
BACKGROUND: American Indians (AIs) have significantly higher rates of diet-related chronic diseases ...
An adrenal incidentaloma (AI) is an adrenal mass incidentally found via a radiological modality, ind...
Software testing of knowledge-based clinical decision support systems is challenging, labor intensiv...
Accurate image-based medical diagnosis relies upon adequate image quality and clarity. This has impo...
Over 75 million Americans have multiple concurrent chronic conditions and medical decision making fo...
A computational phenotype is a set of clinically relevant and interesting characteristics that descr...
Non-alcoholic fatty liver disease (NAFLD) is the leading cause of chronic liver disease worldwide. N...
BACKGROUND: Diabetes mellitus is a deadly disorder in human which induce chronic complications. The ...
BACKGROUND: A low estimated glomerular filtration rate (eGFR) and an increased urinary albumin-to-cr...
IMPORTANCE: Artificial intelligence (AI) algorithms are under development for use in diabetic retino...
Diabetes, a metabolic disorder due to high blood glycemic index in the human body. The glycemic inde...
AIM: To assess the association between high waist-to-hip ratio (WHR) levels and insulin resistance (...
The ability of deep learning architectures to identify glaucomatous optic neuropathy (GON) in fundus...
AIMS: Diabetic nephropathy (DN) is a serious microvascular complication of a longstanding hyperglyce...
BACKGROUND: The aim of A MAastricht Contrast-Induced Nephropathy Guideline (AMACING) trial was to ev...
Exopolysaccharide (EPS) produced from KC117496 isolated from the naturally fermented batter has be...
Remarkable advances in biomedical research have led to the generation of large amounts of data. Usin...
BACKGROUND: Convolution neural networks have been considered for automatic analysis of fundus images...