There are more and more studies that describe the application of machine learning in screening for high-risk pregnancies and APO, like gestational diabetes or PH, route of delivery, preterm birth, and other complications of pregnant women and fetuses.[1] Many prenatal examinations are used to predict fetal dysfunctions such as aneuploidies by many maternal biochemical markers such as β-human chorionic gonadotrophin (β-hCG) and pregnancy-associated plasma protein-A (PAPP-A).[18,20] Artificial neural networks (ANN) is the most popular virtual AI form in medicine.[1]. The gene discussed is PAPPA; the disease is gestational diabetes.