Upreti et al. highlighted the promise of artificial intelligence, including deep learning neural networks integrating AMH, LH, and lipid profiles, for achieving high accuracy in PCOS diagnosis but requiring extensive computational resources [18]. This evidence concerns the gene PLOD1 and polycystic ovary syndrome.