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Artificial Intelligence and Computer Augmented Vision Laboratory

The Artificial Intelligence and Computer Augmented Vision Laboratory at Bascom Palmer Eye Institute is at the forefront of critical technological innovations at the intersection of ophthalmology research and the emerging fields of artificial intelligence and spatial computing, including the use of novel artificial intelligence algorithms to autonomously diagnose and correct for vision loss using Augmented Reality digital glasses as well as the autonomous diagnosis of eye diseases with very high prevalence using optical coherence tomography.

Dr. Mohamed Abou Shousha, Director of The Artificial Intelligence and Computer Augmented Vision Laboratory, and his team have developed novel vision augmentation software for Augmented Reality digital glasses that contains an automatic self-administered diagnostic testing capability that identifies and quantifies the user's vision loss, including visual field impairments, distortions and other visual disorders. Based on each user's unique vision loss, customized corrective images of the scene being viewed by the user are displayed on the digital glasses in real time using autonomous algorithmic software, to augment and enhance vision for patients with prevalent eye diseases such as glaucoma, age-related macular degeneration, diabetic retinopathy, strokes and retinitis pigmentosa. These advanced software applications offer the promise of customized vision enhancement that is far superior to any existing visual aid devices for people suffering from these debilitating vision impairments.

The laboratory is pursuing advancements in the use of optical coherence tomography in the diagnosis and treatment of corneal diseases, such as keratoconus, dry eye syndrome, corneal graft rejection and failure, and Fuchs Dystrophy. The laboratory has developed an artificial intelligence software to analyze images from a high-resolution optical coherence tomography device, which allows a minimally trained technician to perform the operations required to obtain highly sophisticated diagnoses.. This autonomous diagnostic system will enable widespread use of this imaging technology for corneal diagnostics and cost-effective screening for corneal eye diseases in community, vision center and primary care settings.


McKnight building, 5th floor


Mohamed Abou Shousha, M.D., Ph.D.