Age-Related Macular Degeneration

Various automation procedures relying on artificial intelligence and machine learning have been tested to diagnose age-related macular degeneration (AMD). This article, published in the International Journal of Imaging Systems and Technology, examined the automated diagnoses of…

Patients are increasingly turning to the internet as a source of information on health issues. However, no standard currently exists across public websites on how to provide information about age-related macular degeneration (AMD) to patients.…

Although current treatments can decrease the rate at which age-related macular degeneration (AMD) progresses, they cannot reverse its progression to wet AMD. This article, published in the Journal of Clinical Medicine, identified risk factors for AMD…

Hyperreflective foci indicate progression risk in cases of advanced age-related macular degeneration (AMD) and are partially attributable to ectopic retinal pigment epithelium (RPE). In this study, published in Investigative Ophthalmology & Visual Science, the authors hypothesized…

Deep learning, a form of artificial intelligence, is being studied for its potential to screen for and diagnose age-related macular degeneration (AMD). The use of deep learning for image recognition is promising, as it can…

Among the available biomarkers for age-related macular degeneration (AMD) is delayed dark-adapted vision recovery. However, its use is burdensome for both patients and examiners. This study, published in Eye and Brain, sought to determine the utility…