Artificial intelligence-based refractive error prediction and EVO-implantable collamer lens power calculation for myopia correction

We constructed novel stacking machine learning models based on preoperative dimensional ocular parameters of 2767 eyes of 1678 patients who underwent non-toric or toric ICL implantation.The final optimal models predicted postoperative spherical equivalent and sphere with numerically higher accuracy and showed strong agreement with the existing modified vergence formula.The stacking machine learning models demonstrated potential advantages with various ocular dimensional parameters in predicting postoperative refractive error and provided a novel nomogram to calculate phakic intraocular lens power.