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AI tools are being tested to predict preterm births earlier using medical data.
Last year, 1 in 10 U.S. babies were born prematurely, a rate higher than most developed countries, according to the March of Dimes.
Premature birth can cause serious health issues and emotional stress for families.
Researchers and entrepreneurs are now testing artificial intelligence tools that analyze medical data—such as health histories, lab results, and ultrasounds—to detect early signs of preterm birth.
The goal is to identify at-risk pregnancies sooner, enabling timely interventions.
While promising, the technology is still in development, with ongoing research needed to confirm its accuracy, safety, and effectiveness across diverse populations.
Las herramientas de IA se están probando para predecir partos prematuros más temprano usando datos médicos.