Latest AI and machine learning research in diabetes for healthcare professionals.
Background Elevated serum uric acid, associated with cardiovascular conditions such as atherosclerot...
Mannan-binding lectin (MBL) initiates the lectin pathway of complement and has been linked to albumi...
Emerging research findings suggest that airborne particulate matter might be a risk factor for gesta...
BACKGROUND: Machine learning is increasingly recognized as a viable approach for identifying risk fa...
Our study aimed to assess the role of a hand-held fundus camera and artificial intelligence (AI)-bas...
Type 1 diabetes mellitus (T1DM) is one of the most common chronic diseases in children and adolesce...
Through experiencing cardiopulmonary arrest, an artificial intelligence universal biomarker predicti...
OBJECTIVE: Through machine learning (ML) analysis of the radiomics features of ultrasound extracted ...
The effects of coffee ( L.) berry pulp extracts (CBP extracts) on the improvement of diabetes, obesi...
This study aimed to evaluate the antioxidant and antiaging effects of Indian almond ( Linn.) leaf ex...
Background Bony fusion is a critical factor in the outcome of cervical spinal fusion surgery. While ...
Coffee processing generates large amounts of residues of which a portion still has bioactive propert...
BACKGROUND: Wearable insulin biosensors represent a novel approach that combines the benefits of rea...
RATIONALE & OBJECTIVE: Kidney function progressively declines in most patients with type 2 diabetes ...
BACKGROUND/OBJECTIVE: Type 1 diabetes (T1D) and myasthenia gravis (MG) are autoimmune conditions tha...
BACKGROUND/OBJECTIVE: Monogenic diabetes is a rare type of diabetes that is commonly misdiagnosed as...
PURPOSE: To explore the potential of artificial intelligence (AI) for glaucoma detection using deep ...
PURPOSE: To evaluate mydriatic handheld retinal imaging performance assessed by point-of-care (POC) ...
A significant worldwide health issue, Type 2 Diabetes Mellitus (T2DM) calls for creative solutions. ...
PURPOSE: Risk factors (RFs), like 'body mass index (BMI),' 'age,' and 'gender' correlate with Diabet...
Obesity has a complex multifactorial etiology and is characterized by excessive accumulation of adip...