Optimizing Refractive Outcomes of SMILE: Artificial Intelligence versus Conventional State-of-the-Art Nomograms

CONCLUSION: Machine learning endorsed the validity of state-of-the-art linear and non-linear SMILE nomograms. However, improving the accuracy of subjective manifest refraction seems warranted for optimizing ±0.50 D SE predictability beyond an apparent methodological 90% limit.PMID:38032001 | DOI:10.1080/02713683.2023.2282938

Source: Current Eye Research - November 30, 2023 Category: Opthalmology Authors: Nikolaus Luft Niklas Mohr Elmar Spiegel Hannah Marchi Jakob Siedlecki Lisa Harrant Wolfgang J Mayer Martin Dirisamer Siegfried G Priglinger Source Type: research