Morning glory syndrome

This study is testing a smartphone app called NEDS EyeCTester to see if it can help detect active eye disease early in people with conditions like optic nerve or macular disease. About 100 participants will use the app at home, and researchers will compare the results to standard…

This study tests whether an AI tool can help radiologists read brain CT and MRI scans more accurately and quickly. Researchers will compare how well doctors, AI alone, and doctors using AI together can spot abnormalities, urgent findings, and classify diseases. The goal is to red…

This study tests whether an AI-assisted screening tool can detect visual impairment more accurately and efficiently than traditional methods in community settings. About 400 adults aged 50 and older will undergo vision screening and provide feedback. The goal is to see if the AI …

This study looks at whether traditional exercises like Tai Chi and Baduanjin can help visually impaired university students improve their balance, mood, and quality of life. Ninety participants will be split into three groups: Tai Chi, Baduanjin, or regular physical education cla…

This study offers free vision screenings to underserved adults over 40 living in affordable housing in Harlem and Washington Heights. The goal is to find eye problems like glaucoma, cataracts, and diabetic retinopathy early and connect people with follow-up care. About 749 partic…

This study reviews the medical records of 2,000 people in Upper Egypt who applied for visual disability certification between 2020 and 2024. Researchers will analyze eye exams and tests to find the most common diseases causing severe vision loss. The goal is to understand which c…

This study gathers MRI, CT, and ultrasound images from 300 adults—some healthy, some with kidney or brain disease—to build a collection for future not-for-profit research. No new treatments are being tested; the goal is to make medical images available to scientists for advancing…