ASA Monitor December 2023, Vol. 87, 18.
AI diagnosis of polycystic ovary syndrome
A recent study by the National Institutes of Health reveals that artificial intelligence (AI) and machine learning (ML) are highly effective in detecting and diagnosing polycystic ovary syndrome (PCOS), the most common hormone disorder among women aged 15 to 45. Researchers reviewed 31 observational studies that utilized AI/ML for PCOS detection over the past 25 years. The accuracy of PCOS detection in studies using standardized criteria ranged from 80%-90%. The findings suggest that AI/ML programs could significantly improve early PCOS identification, potentially leading to cost savings and reduced health care burden. PCOS diagnosis typically relies on standardized criteria involving clinical features, laboratory tests, and radiological findings, but its symptoms can overlap with other conditions, leading to underdiagnosis. AI mimics human intelligence and ML learns from past events, making them valuable tools in diagnosing complex disorders like PCOS, especially when dealing with vast amounts of electronic health data.
Source: asamonitor.pub/45eOO77
Leave a Reply
You must be logged in to post a comment.