AI advances in partial vision restoration
A study conducted by the University of California, Santa Barbara, and an international team has shown that artificial intelligence (AI) can contribute to improving the performance of future prosthetic visual devices, such as electronic eyes, by enhancing accuracy and responsiveness to user needs. The researchers used deep learning models to design direct electrical stimulation patterns on the visual cortex— the brain region responsible for processing visual information— aiming to assist individuals who have lost their sight due to brain injuries or degenerative diseases. Experiments demonstrated that AI-supported electrical stimulation can generate targeted brain activity patterns more accurately and closely mimic the perceptual experience of individuals, while reducing the required current. These findings represent a significant step toward developing more effective cortical visual prostheses, helping those who have experienced partial vision loss, particularly after previous loss. This study is the first of its kind to link computational models with real-world experiments, indicating great potential for direct interaction between AI and the brain to improve the quality of life for the blind.
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