These records contain important clinical indicators such as body mass index (BMI), Anti-Müllerian Hormone (AMH) levels, follicle count, and menstrual irregularities, which may provide deeper insights into infertility risk.<h4>Methods</h4>This study proposes a novel AI-quantum hybrid framework for analyzing PCOS-related health records to improve infertility risk prediction. This evidence concerns the gene AMH and polycystic ovary syndrome.