We therefore evaluated whether ten routine demographic, clinical and genetic variables, including AIPL1 status, could power a lightweight neural network to flag KC at a child’s first visit, directing scarce imaging and cross-linking to those who need them most. This evidence concerns the gene AIPL1 and keratoconus.