The advent of deep learning in ophthalmology has revolutionised the detection and diagnosis of diabetic retinopathy (DR). By utilising convolutional neural networks (CNNs) and advanced image ...

A deep learning model trained on fundus photographs showed promise in the detection of severe glaucoma, with lower accuracy ...

The deep learning system distinguishes IIH, NAION, and healthy eyes with 93.6% accuracy, aiding in resource-limited settings. The model reduces the need for invasive procedures by using a single ...

Diabetic patients with high myopia have a significantly lower choroidal vascularity index (CVI) than those with diabetic retinopathy (DR), according to research published in Frontiers in Cell and ...

Baystreet.ca News Commentary – Momentum continues to build behind AI in healthcare, as capital finds its way to technologies capable of reshaping how care is delivered, diagnosed, ...

Financially, the merger would roll all outstanding Ainnova equity into the publicly traded company, avoiding cash dilution and aligning incentives for the combined team. Leadership has signaled that ...

A study reveals significant retinal vessel changes in diabetic retinopathy, highlighting the need for early detection methods ...

Both Fischel and La Bomba Pharmacies have asked their diabetic customers to schedule a free screening as part of a collaborative program where Ainnova will use its cutting-edge AI platform, Vision AI, ...

Background Diagnosing the presence of metastasis of pancreatic cancer is pivotal for patient management and treatment, with ...