The most common application of AI methods in retina is the detection of disease-related features on color fundus photographs. With the advent of OCT in the early 2000s, automated segmentation has been applied to delineate anatomic and pathologic features in retinal diseases.
The revolution in modern Industrial systems is one of the most critical business and societal changes we’re experiencing. Urbanization, global environmental impacts, and government regulations are accelerating the demand for automation. Developing product with adequate range, capabilities, and multiple design variants is a great challenge. Achieving all this with the same (or lower) cost of ownership requires bringing innovations and engineering efficiency that has been unheard of in the industry - without risking safety, reliability, and quality.
The pixel density of Retina displays is so high that your eyes can't detect individual pixels at a normal viewing distance. This gives content incredible detail and dramatically improves your viewing experience.
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