Latest AI and machine learning research in diabetes for healthcare professionals.
BACKGROUND: Diabetic kidney disease (DKD) is a common and serious complication of diabetic mellitus ...
AIMS: To evaluate the acceptability, applicability, and cost-utility of AI-powered portable fundus c...
The burden of diabetic foot ulcers (DFU) is exacerbated in diabetic patients with concomitant arteri...
Chronic disease (CD) like diabetes and stroke impacts global healthcare extensively, and continuous ...
Screening for diabetic retinopathy has been shown to reduce the risk of sight loss in people with di...
BACKGROUND: While ferroptosis has been recognised for its key role in tumour development, its involv...
BACKGROUND AND OBJECTIVE: Type 1 Diabetes (T1D) is an autoimmune disease that requires exogenous ins...
INTRODUCTION: Membranous nephropathy is an autoimmune kidney disease and the most common cause of ne...
IMPORTANCE: Retinopathy of prematurity (ROP) is the leading cause of preventable childhood blindness...
OBJECTIVES: Early detection of diabetic retinopathy (DR) and timely intervention are critical for pr...
OBJECTIVE: This study aimed to evaluate the impact of socioeconomic disparities on the allocation of...
This study aimed to develop a machine learning (ML) model for predicting the risk of acute kidney in...
Diabetic retinopathy (DR) is a chronic condition associated with diabetes that can lead to vision im...
Diabetes is a global health crisis with rising incidence, mortality, and economic burden. Traditiona...
PURPOSE: We aimed to identify the mitochondria-related feature genes associated with type 2 diabetes...
: Patent ductus arteriosus (PDA) is common in newborns, being associated with high morbidity and mor...
OBJECTIVE: The incidence of Type 2 Diabetes Mellitus (T2DM) continues to rise steadily, significantl...
BACKGROUND: Diabetic foot ulcers (DFUs) constitute a significant complication among individuals with...
The retina is the most crucial part of the human eye, and it can be affected due to hypertension. Ho...
To prevent chronic disease from getting worse, it is important to detect and predict it at an early ...
OBJECTIVES: This study aimed to compare the performance of five machine learning algorithms to predi...