Latest AI and machine learning research in diabetes for healthcare professionals.
BACKGROUND: This review explores the bioethical implementation of artificial intelligence (AI) in me...
Accurate blood glucose prediction can enable novel interventions for type 1 diabetes treatment, in...
The effective diagnosis of acute and hard-to-heal wounds is crucial for wound care practitioners t...
Diabetes is one of the most prevalent diseases worldwide, characterized by persistently high blood...
Polycystic Ovary Syndrome (PCOS) is a complex endocrine disorder that affects millions of women worl...
Muscarinic receptor subtype 1 (M1) is a G protein-coupled receptor (GPCR) and a key pharmacological ...
Macrovascular complications are leading causes of morbidity and mortality in patients with type 2 di...
Diabetes remains a significant health challenge globally, contributing to severe complications lik...
The adoption of standardized imaging protocols in retinal imaging is critical to overcoming challeng...
This systematic review aims to assess the effectiveness of AI-Driven Decision Support Systems in imp...
New methods of CGM data analysis are emerging that are valuable for interpreting CGM patterns and ...
While continuous glucose monitoring (CGM) has revolutionized metabolic health management, widespread...
Although machine learning is frequently used in medicine for predictive purposes, its accuracy in di...
Diabetic macular edema (DME) significantly contributes to visual impairment in diabetic patients. ...
INTRODUCTION: Risk assessment for high-risk populations is critical for preventing Type 2 Diabetes M...
BACKGROUND: Diabetes has emerged as a critical global public health crisis. Prediabetes, as the tran...
The potential for continuous non-invasive blood glucose monitoring has attracted a lot of interest i...
BACKGROUND: Stress hyperglycemia ratio (SHR) and glycemic variability (GV) reflect acute glucose ele...
Several large analyses have revealed contradictory results regarding the association between prostat...
This study presents a web-based interactive health risk prediction tool designed to assess diabete...
The comorbidities of hypertension impose a heavy burden on patients and society. Early identificat...