Latest AI and machine learning research in diabetes for healthcare professionals.
BACKGROUND: Gestational Diabetes Mellitus (GDM) is one of the most common medical complications duri...
Diabetic Retinopathy (DR) is a serious condition affecting diabetes people caused by hemorrhage in t...
The study of type 2 diabetes mellitus (T2DM) pathophysiology relies mainly on the use of animal mode...
• Application of real-world data and artificial intelligence in detecting cardiotoxicity following c...
BACKGROUND: Post-bariatric hypoglycemia (PBH) after Roux-en-Y gastric bypass (RYGB) is a complex com...
: Diet plays an important role in preventing and managing the progression from prediabetes to type 2...
PURPOSE: Meralgia paraesthetica (MP) is a rare neuropathy of the lateral femoral cutaneous nerve (LF...
This study addresses a gap in research on predictive models for postpartum dyslipidemia in women wit...
Diabetic kidney disease (DKD) is a serious healthcare dilemma. Nonetheless, the interplay between th...
Yi-Qi-Yang-Yin Decoction (YQYY), a traditional Chinese medicine (TCM) formula, has been used to trea...
INTRODUCTION: Cellular Communication Network Factor 6 (CCN6) is an adipokine whose production underg...
Early detection of Diabetic Retinopathy (DR) is vital for preserving vision and preventing deteriora...
PURPOSE: To assess the rate of retinal vascularization derived from ultra-widefield (UWF) imaging-ba...
OBJECTIVE: To investigate high-risk factors for gestational diabetes mellitus (GDM) in early pregnan...
Effect heterogeneity analyses using causal machine learning algorithms have gained popularity in rec...
BACKGROUND: Diabetic retinopathy (DR) is a common complication of diabetes, with Endoplasmic reticul...
IMPORTANCE: While prospective studies have investigated the accuracy of artificial intelligence (AI)...
BACKGROUND: Machine learning (ML) models are being increasingly employed to predict the risk of deve...
AIMS: Several Artificial Intelligence (AI) based predictive tools have been developed to predict non...
Developing reliable noninvasive diagnostic and monitoring systems for diabetes remains a significant...
The integration of artificial intelligence (AI) in ophthalmology is transforming the field, offering...