1. Application of Artificial Intelligence in Targeting Retinal Diseases

    Application of Artificial Intelligence in Targeting Retinal Diseases

    Retinal diseases affect an increasing number of patients worldwide because of the aging population. Request for diagnostic imaging in ophthalmology is ramping up, while the number of specialists keeps shrinking. Cutting-edge technology embedding artificial intelligence (AI) algorithms is thus advocated to help ophthalmologists perform their clinical tasks as well as a source for novel biomarkers. In particular, optical coherence tomography (OCT) evaluation of the retina can be augmented by algorithms based on machine learning and deep learning to early detect, qualitatively localize and quantitatively measure epi/intra/subretinal abnormalities or pathological features of macular or neural diseases. In this paper ...

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