Development of a Machine Learning based Medical Data Extraction Tool for Calculating Intraocular Lens Power

点击翻译按钮获取中文摘要

Veritas Eye (inc. 2006) is actively commercializing machine-learning enabled tools for the improvement of surgical vision correction. The prediction of refractive outcomes after cataract surgery has only had minor improvements in accuracy over the past decade even with the introduction of more recent intraocular lens (IOL) power formulas (Melles et al. 2018). The current Error Rate of intraocular lens (IOL) power formulas is in the range of 34-37%; Veritas has brought that error rate down significantly to approximately 12%, with the potential for further decreasing the error rate through the improvement of their machine learning algorithm. This will potentially ensure more accurate surgical results. Veritas is seeking to commercialize a mobile software application to disseminate this algorithm.