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Transporting an Artificial Intelligence Model to Predict Emergency Cesarean Delivery: Overcoming Challenges Posed by Interfacility Variation.

Joshua GuedaliaMichal LipschuetzSarah M CohenYishai SompolinskyAsnat WalfischEyal SheinerRuslan SergienkoJoshua I RosenbloomRon UngerSimcha YagelHila Hochler
Published in: Journal of medical Internet research (2021)
Research using artificial intelligence (AI) in medicine is expected to significantly influence the practice of medicine and the delivery of health care in the near future. However, for successful deployment, the results must be transported across health care facilities. We present a cross-facilities application of an AI model that predicts the need for an emergency caesarean during birth. The transported model showed benefit; however, there can be challenges associated with interfacility variation in reporting practices.
Keyphrases
  • artificial intelligence
  • healthcare
  • machine learning
  • big data
  • deep learning
  • emergency department
  • primary care
  • public health
  • current status
  • health insurance