Latest AI and machine learning research in diabetes for healthcare professionals.
Precision nutrition tailors dietary guidance to individual biological, genetic, metabolic, and behav...
Retinopathy of Prematurity (ROP) is among the major causes of preventable childhood blindness. Autom...
UNLABELLED: Artificial intelligence (AI) is rapidly transforming both pediatric healthcare and every...
PURPOSE: Intestinal neuronal dysplasia (IND) is a congenital enteric neuropathy characterized by abn...
INTRODUCTION: This analysis evaluated the impact of early intraretinal fluid (IRF) reduction on long...
BACKGROUND: AI is increasingly being integrated into diabetes care, with growing evidence supporting...
BACKGROUND: Type 2 diabetes mellitus (T2DM) combined with hypertension significantly increases morta...
BACKGROUND: Phenotypic age gap (PAG) and phenotypic age acceleration (PhenoAgeAccel) are measures of...
OBJECTIVES: This study aimed to systematically evaluate the predictive performance of machine learni...
Diabetes mellitus represents a major public health challenge in Saudi Arabia. This study investigate...
INTRODUCTION: Pharmacoeconomic principles are increasingly shaping modern obstetric pharmacology as ...
BACKGROUND: Accurate healthcare cost predictions are essential for health economic decision-making. ...
PURPOSE: Develop an interpretable machine learning model and evaluate the predictive and potential c...
BACKGROUND: Type 1 diabetes is characterized by absolute insulin deficiency, requiring exogenous ins...
OBJECTIVE: To establish a comprehensive theranostic framework for early-stage diabetic kidney diseas...
Transdermal drug delivery offers a noninvasive alternative to conventional administration by avoidin...
Early identification of high-risk individuals is key for type 2 diabetes prevention. This study comb...
Artificial intelligence in ophthalmology encounters a continual challenge: Systems proficient in pic...
Artificial intelligence can already automate selected diabetes tasks, but the evidence is uneven. Au...
Artificial intelligence (AI) has shown remarkable accuracy in the diagnosis of common ocular disease...
AIM: To clarify the role of filamin A (FLNA) in promoting diabetic retinopathy (DR) progression and ...