In Fujinami-Yokokawa et al.’s 2019 study, it was emphasized that the application of deep neural networks in the prediction of the three major genes responsible for IRDs (ABCA4, RP1L1, EYS) from SD-OCT had a mean prediction accuracy of 90% [14]. This evidence concerns the gene RP1L1 and respiratory distress syndrome in premature infants.