Latest AI and machine learning research in diabetes for healthcare professionals.
For people with diabetes, controlling blood glucose level (BGL) is a significant issue since the dis...
BACKGROUND: Type 2 diabetes (T2D) has become a serious health threat globally. However, the existing...
Glaucoma is defined as progressive optic neuropathy that damages the structural appearance of the op...
OBJECTIVE: To evaluate whether typical machine learning models that mimic specialists' care can succ...
AIMS: To identify from a parental perspective facilitators and barriers of effective implementation ...
AIM/INTRODUCTION: We assess the efficacy of artificial intelligence (AI)-based, fully automated, vol...
Artificial intelligence (AI) is increasingly being used to diagnose complications of diabetes. Artif...
Sepsis, characterized as a systemic inflammatory response triggered by the invasion of pathogens, re...
This paper addresses the pressing issue of diabetes, which is a widespread condition affecting a hug...
OBJECTIVE: Recent years have seen an increase in machine learning (ML)-based blood glucose (BG) fore...
Retinopathy of Prematurity (ROP) is a retinal disorder affecting preterm babies, which can lead to p...
BACKGROUND: Current blood glucose monitoring (BGM) methods are often invasive and require repetitive...
OBJECTIVE: The aim of this study was to assess the predictive capabilities of a radiomics signature ...
Diabetic foot ulcers (DFU) is a complication associated with diabetes characterised by high morbidit...
Detecting glucose levels is crucial for diabetes patients as it enables timely and effective managem...
BACKGROUND: To utilize machine learning for identifying treatment response genes in diabetic foot ul...
BACKGROUND AND AIMS: To prevent end-stage renal disease caused by diabetic kidney disease, we create...
OBJECTIVE: The purpose of this study was to conduct a systematic investigation of the potential of a...
Inflammatory prognostic index (IPI), has been shown to be related with poor outcomes in cancer pati...
AIMS: Studies on machine learning (ML) for the prediction of diabetic nephropathy (DN) in type 1 dia...
BACKGROUND: Diabetic retinopathy (DR), a prevalent complication in patients with type 2 diabetes, ha...