AI identifies at-risk pregnancies
A recent study shows that artificial intelligence can help identify pregnant women and children at risk of serious health problems during the first trimester of pregnancy. Researchers used machine learning models based on data from more than half a million pregnancies in Sweden, Chile, and Singapore. These models analyzed information available during the first fourteen weeks of pregnancy and outperformed traditional methods in risk assessment. The findings suggest that this technology could support the delivery of more specialized and equitable prenatal care by considering social and demographic factors that conventional assessments might overlook. However, performance varied across communities, with better results in Sweden and Singapore compared to Chile. The study emphasizes that AI models are not a substitute for doctors but serve as helpful tools to make more accurate decisions. It is also expected that future risk assessments will incorporate social and behavioral factors alongside medical history.
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