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Prediction Models for Intrauterine Growth Restriction Using Artificial Intelligence and Machine Learning: A Systematic Review and Meta-Analysis.

Riccardo RescinitoMatteo RattiAnil Babu PayedimarriMassimiliano Panella
Published in: Healthcare (Basel, Switzerland) (2023)
our findings showed that AI/ML could be part of a more accurate and cost-effective screening method for IUGR and be of help in optimizing pregnancy outcomes. However, before the introduction into clinical daily practice, an appropriate algorithmic improvement and refinement is needed, and the importance of quality assessment and uniform diagnostic criteria should be further emphasized.
Keyphrases
  • artificial intelligence
  • pregnancy outcomes
  • machine learning
  • big data
  • pregnant women
  • deep learning
  • primary care
  • healthcare
  • physical activity
  • quality improvement