Preloaded IOL Reviewed and Artificial Intelligence IOL Calcs скачать в хорошем качестве

Preloaded IOL Reviewed and Artificial Intelligence IOL Calcs

The Artificial Intelligence Approach to IOL Calculations We have seen how artificial intelligence (AI) has challenged the most brilliant minds in chess and now the best grandmaster in history is a computer. The same approach can be applied to IOL power determination where we give input variables such as axial length, keratometry, anterior chamber depth, and more which are then weighed appropriately with the hidden inner layers of the AI and the IOL power is predicted that is consistent with the given dataset. A potential downfall of relying solely on artificial intelligence is the risk of an unreliable or out-of-bounds result due to a sparsity of data for certain types of eyes. The Ladas Super Formula 2.0 incorporates AI and eliminates the risk of an out-of-bounds result by using the original Ladas Super Formula 1.0 as a framework. In addition, additional variables can be learned instantly and appropriate adjustments can be made as they relate to the existing variables. Euclid, the father of geometry, put forth a simple yet enduring mathematical concept, that things are best described as their displacement from the origin. The original Ladas Super Formula is defined as the origin and the AI and big data approach is the displacement from a perfect outcome.   Instead of outright predicting IOL power like the Hill-RBF, Ladas Super Formula 2.0 uses the big data approach to predict the difference or displacement between an existing formula and perfection for a given eye. These adjustments are not random and typically occur on the order of 0.2 diopters.  These predicted displacements or adjustments are seamlessly incorporated back into the existing formula. Because the baseline is an already proven formula, differences 100 times smaller in magnitude than the standard AI approach that is instead predicting IOL power (0.2 diopters vs 20 diopters).  There is no human that could ever write a single formula that takes into account every adjustment or intuition previously described, but this form of high resolution artificial intelligence can accomplish this. An example which clearly illustrates the power of the Ladas Super Formula 2.0 is the artificial intelligence prediction that eyes with longer axial lengths will need to be adjusted to improve refractive accuracy. We know from the Wang-Koch axial length adjustment that a long eye certainly does need an adjustment made to the axial length prior to using the traditional IOL calculation equations. Using a massive amount of computing power, a significant displacement from the origin for IOL power was predicted for axial lengths of about 26 mm or longer, varying somewhat with the keratometry as well. Multiple more refinements are being done using this big-data approach with the Ladas Super Formula backbone. The result is more accurate post-operative refractive results for our patients and greater confidence in our ability to deliver consistently excellent outcomes. With further evolution, artificial intelligence may prove to be the Grandmaster of both IOL calculations and chess.