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Abstract

A display emphasis differential between first and second display regions may be applied. First and second visual regions then receive a visual emphasis differential; alternately, a selective digital image filter is provided acting on specific areas of visual content representing different areas of the retina. Visual emphasis differentials can physiologically bias against progressive myopia. Also, a subject focuses central vision at distance, views first and second targets with peripheral vision, and adjusts distance until their vision fuses a third target. Practicing can physiologically bias against progressive myopia. Further, breaks having adaptive intervals and durations while interrupting graphical output physiologically biases against progressive myopia. Content delivery continues with audio text descriptions in place of graphical output. Also, a large learning model database and generative decision support artificial intelligence cooperate to process large, multi-dimensional data sets informing decision support for choices and parameters regarding diagnosis and treatment of progressive myopia.

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First Claim