Latest AI and machine learning research in diabetes for healthcare professionals.
: Adverse pregnancy outcomes (APOs), which include hypertensive disorders of pregnancy (gestational ...
Highland barley has shown potential in regulating blood glucose and may serve as a natural source of...
Retinal OCT biomarker analysis by artificial intelligence (AI) has not previously been integrated wi...
BACKGROUND/OBJECTIVES: Artificial intelligence (AI) assessment of diabetic retinopathy (DR) instead ...
Cardiovascular diseases such as coronary artery disease, myocardial infarction, and heart failure im...
BACKGROUND: We analyzed variables reported during routine clinical practice using a registrational d...
BACKGROUND: Machine learning technology that uses available clinical data to predict diabetic retino...
BACKGROUND AND OBJECTIVES: Traumatic optic neuropathy (TON) caused by optic canal fractures (OCF) ca...
PURPOSE: To develop a machine learning model to predict anatomical response to anti-VEGF therapy in ...
Diabetes is a growing chronic disease with complications that impose a significant burden on healthc...
This scoping review aims to identify regulator-approved ophthalmic image analysis artificial intelli...
Growing rates of chronic wound occurrence, especially in patients with diabetes, has become a recent...
Advances in diabetes technologies such as continuous glucose monitoring (CGM) have provided signific...
BACKGROUND: Diabetes-related lower extremity complications, such as foot ulceration and amputation, ...
BACKGROUND: Research on the associations between the stress hyperglycemia ratio (SHR) and adverse ou...
This article analyzes the progress of animal experiments on the analgesic mechanism of electroacupun...
Recent advances in deep learning and machine learning have greatly increased the capabilities of ext...
Dipeptidyl peptidase-4 (DPP-4) inhibitors play a critical role in the management of type 2 diabetes;...
OBJECTIVE: Deep learning (DL) has been used to differentiate papilledema from healthy eyes and optic...
Our study aims to improve the prediction performance of machine learning (ML) models by addressing f...
BACKGROUND: AI-assisted blood glucose management has become a promising method to enhance diabetes c...