Articlenpj aging2026
Visual noise in augmented reality improves vision in age-related macular degeneration.
Article in npj aging, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Authors and funding
5 authors.
Funding
Abstract
Exudative age-related macular degeneration (eAMD) is a degenerative eye disease of the central retina that results in central vision loss, significantly affecting the daily functioning and quality of life of affected individuals. Although first-line treatments are quite effective in improving vision in eAMD, they are invasive and not suitable or efficacious for everyone. The non-invasive methods to enhance visual acuity (VA) in eAMD, are often limited in scope and burdensome for patients. Stochastic resonance (SR), a phenomenon in which optimal noise improves sensory perception, offers a promising non-invasive strategy with broad clinical potential. In this study, we tested whether visual noise delivered via an augmented reality (AR) headset enhanced binocular VA in binocular eAMD (N = 12) and in healthy individuals (N = 17) via the SR effect. Using a standard clinical letter chart, we observed an immediate improvement in vision, without the need for any training. Improvements were 2.5 letters and 2 letters at optimal noise levels for eAMD and healthy individuals, respectively. These findings demonstrate the potential of noise-based AR as a practical, wearable visual aid for individuals with eAMD or other visual disorders, offering enhancements that may complement or extend the benefits of current first-line treatments.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.