"Revolutionizing Retinal Imaging: AI Speeds Up Process 100-Fold"

Researchers at the National Institutes of Health have utilized artificial intelligence (AI) to significantly improve the speed and quality of retinal imaging, making it 100 times faster and enhancing image contrast 3.5-fold. By integrating AI with adaptive optics optical coherence tomography (OCT), the new method, called parallel discriminator generative adverbial network (P-GAN), successfully de-speckles retinal pigment epithelium (RPE) images, providing a better tool for evaluating age-related macular degeneration and other retinal diseases. This advancement is expected to make AO imaging more accessible for routine clinical applications and studies aimed at understanding blinding retinal diseases.