Artificial intelligence and machine learning have shown high efficacy in detecting and diagnosing Polycystic Ovary Syndrome , a prevalent hormone disorder in women, according to a study by the National Institutes of Health.Artificial intelligence and can effectively detect and diagnose Polycystic Ovary Syndrome , which is the most common hormone disorder among women, typically between ages 15 and 45, according to a new study by the.
“PCOS can be challenging to diagnose given its overlap with other conditions,” said Skand Shekhar, M.D., senior author of the study and assistant research physician and endocrinologist at the NIEHS. “These data reflect the untapped potential of incorporating AI/ML in electronic health records and other clinical settings to improve the diagnosis and care of women with PCOS.”
AI refers to the use of computer-based systems or tools to mimic human intelligence and to help make decisions or predictions. ML is a subdivision of AI focused on learning from previous events and applying this knowledge to future decision-making. AI can process massive amounts of distinct data, such as that derived from electronic health records, making it an ideal aid in the diagnosis of difficult-to-diagnose disorders like PCOS.
The authors note that AI/ML-based programs have the potential to significantly enhance our capability to identify women with PCOS early, with associated cost savings and a reduced burden of PCOS on patients and on the health system.
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