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Artificial intelligence enhances reproductive medicine by integrating biomarkers like AMH and inhibin B for personalized fertility assessments.
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AMH serves as a stable indicator of ovarian reserve, while inhibin B provides dynamic feedback on follicular activity, improving clinical decision-making.
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AI tools such as OvaRePred, PCOSt, and POvaStim offer innovative approaches for predicting ovarian reserve and personalizing fertility treatments.
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Emerging technologies aim to harmonize assays and enable point-of-care hormone testing, expanding the scope of reproductive health management.
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Future advancements may integrate AI with nutritional, genetic, and wearable data, fostering a comprehensive ecosystem for women's health.