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, Katarzyna Gałan, Sandra Kuczyńska, Natalia Balicka-Dworczak

Polycystic Ovary Syndrome Polyendocrine Metabolic Ovarian Syndrome PCOS PMOS AI-supported EHR analysis electronic health records EHR diagnostic delays gender biases systemic understanding socio-technical tool transparency explainability bias-aware validation AI

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

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research Diagnosis and Treatment of Polycystic Ovary Syndrome: An Endocrine Society Clinical Practice Guideline

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