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- W4205556985 abstract "<sec> <title>UNSTRUCTURED</title> 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. </sec>" @default.
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- W4205556985 date "2021-02-22" @default.
- W4205556985 modified "2023-09-24" @default.
- W4205556985 title "Transporting an Artificial Intelligence Model to Predict Emergency Cesarean Delivery: Overcoming Challenges Posed by Interfacility Variation (Preprint)" @default.
- W4205556985 cites W1901616594 @default.
- W4205556985 doi "https://doi.org/10.2196/preprints.28120" @default.
- W4205556985 hasPublicationYear "2021" @default.
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