health

February 16, 2026

Could AI Imaging Spot Pregnancy Health Risks Earlier?

Mount Sinai teams are testing across EMRs and imaging AI to identify high-risk pregnancies, from placenta accreta spectrum to fetal heart defects

Could AI Imaging Spot Pregnancy Health Risks Earlier?

TL;DR

  • Mount Sinai is developing AI tools to identify fetal health risks earlier in pregnancy care.
  • AI models predict the risk of placenta accreta spectrum (PAS) using preconception electronic medical record (EMR) data.
  • Anaemia before pregnancy has been identified as a new risk factor for PAS by AI.
  • AI-assisted ultrasound screening shows promise in detecting major congenital heart defects (CHD) with increased accuracy and efficiency.
  • The implementation of these AI tools requires careful governance, validation on diverse populations, and integration into clinical workflows.

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