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Nowadays, promising AI-based analytics, including machine learning (ML), neural networks, deep learning (DL), computer vision, and natural language processing, achieve a significant transformation for diagnoses and therapeutic monitoring of reproductive endocrinology in general, and specifically the screening and management of PCOS [14]
No significant heterogeneity among studies ( I 2 = 50%, p =0.06), so the fixed-effects model was used to combine the effect sizes
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