Latest AI and machine learning research in diabetes for healthcare professionals.
Diabetic retinopathy (DR) is a leading cause of vision loss, requiring early and accurate assessme...
PURPOSE: Loss of retinal perfusion is associated with both onset and worsening of diabetic retinopat...
Diabetes mellitus is a complex metabolic disorder and one of the fastest-growing global public healt...
Large Language Models (LLMs) effectively leverage common-sense knowledge for general reasoning, ye...
Infections in Diabetic Foot Ulcers (DFUs) can cause severe complications, including tissue death a...
Diabetic Macular Edema (DME), a prevalent complication among diabetic patients, constitutes a majo...
Glaucomatous optic neuropathy (GON) is a prevalent ocular disease that can lead to irreversible vi...
Diabetic macular ischemia (DMI), marked by the loss of retinal capillaries in the macular area, co...
Interpretability is crucial to enhance trust in machine learning models for medical diagnostics. H...
Managing Type 1 Diabetes (T1D) demands constant vigilance as individuals strive to regulate their ...
The Internet of Things (IoT) revolutionizes smart city domains such as healthcare, transportation,...
Machine learning (ML) transforms healthcare by enabling predictive analytics, personalized treatme...
The advent of foundation models (FMs) is transforming medical domain. In ophthalmology, RETFound, ...
Deep learning has achieved remarkable success in medical image classification. However, its clinic...
There is mounting interest in the possibility that metformin, indicated for glycemic control in type...
SUMMARY: Polygenic risk scores (PRSs) hold promise for early disease diagnosis and personalized trea...
PURPOSE: To assess the Gaiha Prio Retino +â„¢ Artificial Intelligence (AI) software for detecting diab...
The dose-response relationship between metformin and change in hemoglobin A1c (HbA1c) shows a maximu...
Diabetes mellitus (DM) is a global health issue of significance that must be diagnosed as early as...
Modern machine learning produces models that are impossible for users or developers to fully under...
Deep learning has emerged as a transformative approach for solving complex pattern recognition and...