Artificial Intelligence and the Diagnostic Invisibility of Women’s Metabolic Disorders: A Narrative Review of Socio-Technical Challenges in PCOS/PMOS Recognition

    June 2026 in “ International Journal of Innovative Technologies in Social Science ”
    Kinga Mehal, Weronika Martyna Pielich, Natalia Siusta … Natalia Balicka-Dworczak
    Studysummary In this narrative review, the authors highlighted that AI-supported electronic health record analysis could help recognize Polycystic Ovary Syndrome/Polyendocrine Metabolic Ovarian Syndrome earlier, but also warned that these systems might perpetuate historical biases if not properly validated and interpreted.
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    Research cited in this study 5

    1. Obesity and Polycystic Ovary Syndrome: Implications for Pathogenesis and Novel Management Strategies Clinical medicine insights · 2019
    2. Polycystic Ovary Syndrome: Comprehensive Overview Obstetrics & Gynecology · 2018
    3. Polycystic Ovary Syndrome, Androgen Excess, and the Risk of Nonalcoholic Fatty Liver Disease in Women: A Longitudinal Study Based on a United Kingdom Primary Care Database PLOS Medicine · 2018
    4. The Prevalence and Phenotypic Features of Polycystic Ovary Syndrome: A Systematic Review and Meta-Analysis Human Reproduction · 2016
    5. Diagnosis and Treatment of Polycystic Ovary Syndrome: An Endocrine Society Clinical Practice Guideline The Journal of Clinical Endocrinology and Metabolism · 2013