This lightweight, image-free neural network combines ten routine variables with a binary AIPL1 genotype flag and classifies KC in AIPL1-LCA with 92% accuracy, 88% sensitivity and 94% specificity (the 95% CIs are wide given N = 19; see Table 2’s foot-note). This evidence concerns the gene AIPL1 and keratoconus.