Artificial intelligence can predict premature births by spotting patterns invisible to human eyes
Artificial intelligence is revolutionizing prenatal care by detecting subtle placental and cervical patterns in ultrasound scans that are completely invisible to the human eye, allowing for earlier intervention.
Preterm birth affects 14 million babies annually, often due to placental insufficiencies that radiologists cannot easily see. New AI models analyze mid-trimester scans using neural networks trained on over 10,000 images to spot cervical variances as small as one millimeter.
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