Abstract
This research paper aims to investigate the potential benefits and transformative impact of technology, specifically artificial intelligence (AI), in the management of Polycystic Ovary Syndrome (PCOS) and Polycystic Ovary Disease (PCOD). The study explores how technological advancements, including AI algorithms, machine learning, wearable devices, and mobile applications, can revolutionize the diagnosis, monitoring, and personalized treatment of these complex endocrine disorders. By leveraging large datasets encompassing medical records, hormonal profiles, lifestyle factors, and patient-reported outcomes, this research aims to uncover novel insights, enhance early detection, optimize treatment strategies, and empower women in managing their condition. The ethical considerations and challenges associated with the integration of technology and AI in PCOS/PCOD management are also examined. The findings of this research paper provide valuable insights into the potential benefits and ethical implications of technology-enabled approaches, paving the way for improved healthcare practices and outcomes in PCOS/PCOD management.
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