The advent of computer graphic processing units, improvement in mathematical models and
availability of big data has allowed artificial intelligence (AI) using machine learning (ML) …

Clinical trials identified intravitreal vascular endothelial growth factor inhibitors (anti-VEGF
agents) have the potential to stabilise or even improve visual acuity outcomes in …

The volume and complexity of diagnostic imaging is increasing at a pace faster than the
availability of human expertise to interpret it. Artificial intelligence has shown great promise …

Progression to exudative 'wet'age-related macular degeneration (exAMD) is a major cause
of visual deterioration. In patients diagnosed with exAMD in one eye, we introduce an …

Prompt examination increases the chances of effective treatment of Diabetic Eye Disease
(DED) and reduces the likelihood of permanent deterioration of vision. A key tool commonly …

Deep learning (DL) has revolutionized the field of computer vision and image processing. In
medical imaging, algorithmic solutions based on DL have been shown to achieve high …

Data-driven tools and techniques, particularly machine learning methods that underpin
artificial intelligence, offer promise in improving healthcare systems and services. One of the …

Diabetic eye disease is a collection of ocular problems that affect patients with diabetes.
Thus, timely screening enhances the chances of timely treatment and prevents permanent …

Background It is expected that artificial intelligence (AI) will be used extensively in the
medical field in the future. Objective The purpose of this study is to investigate the …

Purpose: While millions of individuals show early age-related macular degeneration (AMD)
signs, yet have excellent vision, the risk of progression to advanced AMD with legal …