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…
Dr. Lauren WeinandNovember 4, 2021
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.…
Dr. Lauren WeinandNovember 4, 2021
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…
Dr. Lauren WeinandNovember 3, 2021
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…
Dr. Lauren WeinandOctober 24, 2021
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…
Dr. Lauren WeinandOctober 22, 2021
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…
Dr. Lauren WeinandOctober 21, 2021
Disability status is as much a legal identifier as it is a psychosocial one. People with disabilities are a minority population that experiences stigmatization and, in many cases, a shared culture. A recent study sought to understand…
Dr. Lauren WeinandMarch 3, 2021