1. Prediction of Phakic Intraocular Lens Vault Using Machine Learning of Anterior Segment Optical Coherence Tomography Metrics: Phakic lens vault prediction using machine learning

    Prediction of Phakic Intraocular Lens Vault Using Machine Learning of Anterior Segment Optical Coherence Tomography Metrics: Phakic lens vault prediction using machine learning

    PURPOSE : To compare the achieved vault using the conventional manufacturer's nomogram and the predicted vault using machine learning, in a large cohort of eyes undergoing posterior chamber phakic intraocular lens (EVO ICL, STAAR Surgical) implantation. DESIGN : Reliability and validity assessment and comparison. METHODS : Our study comprised a total of 1745 eyes of 1745 consecutive patients (mean age ± standard deviation, 26.2 ± 6.8 years) undergoing ICL implantation. At 1-month postoperatively, we quantitatively measured the actual vault, and compared it with the predicted vault using machine leaning of anterior segment optical coherence tomography (CASIA 2, Tomey) metrics. RESULTS : All machine ...

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