Using Artificial Intelligence and Novel Polynomials to Predict Subjective Refraction
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DOI: 10.1038/s41598-020-65417-y
Abstract: This work aimed to use artificial intelligence to predict subjective refraction from wavefront aberrometry data processed with a novel polynomial decomposition basis. Subjective refraction was converted to power vectors (M, J0, J45). Three gradient boosted… read more here.
Keywords: machine learning; subjective refraction; predict subjective; artificial intelligence ... See more keywords