Using AI to Enable Better Vision - for Both Humans and Machines

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Using AI to Enable Better Vision - for Both Humans and Machines

A unique collaboration between electrical engineers and ophthalmologists at UC San Diego is solving clinical and computational challenges in the fields of ophthalmology and computer vision. Electrical engineering graduate students are partnering with ophthalmologists at the Jacobs Retina Center to develop better computer vision, artificial intelligence (AI), and image processing tools to aid in diagnosing patients faster and more accurately.

The collaboration has resulted in the development of an AI tool that can predict age-related macular degeneration just by analyzing Optical Coherence Tomography (OCT) angiography images, outperforming human experts with 80% accuracy. The team has also devised methods to synthesize multiple images to track changes in blood vessel damage or tumors more accurately.

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