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

Joshua Guedalia; Michal Lipschuetz; Sarah M. Cohen; Yishai Sompolinsky; Asnat Walfisch; Eyal Sheiner; Ruslan Sergienko; Joshua Rosenbloom; Ron Unger; Simcha Yagel; Hila Hochler

doi:10.2196/28120

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

Joshua Guedalia, Michal Lipschuetz, Sarah M. Cohen, Yishai Sompolinsky, Asnat Walfisch, Eyal Sheiner, Ruslan Sergienko, Joshua Rosenbloom, Ron Unger, Simcha Yagel, Hila Hochler

Research output: Contribution to journal › Article › peer-review

1 Scopus citations

Abstract

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.

Original language	English
Article number	e28120
Journal	Journal of medical Internet research
Volume	23
Issue number	12
DOIs	https://doi.org/10.2196/28120
State	Published - Dec 2021

Keywords

AI
Algorithm transport
Artificial intelligence
Birth
Health care facilities
Health outcomes
ML
Machine learning
Neonatal
Pediatrics
Pregnancy
Prenatal

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10.2196/28120

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Guedalia, J., Lipschuetz, M., Cohen, S. M., Sompolinsky, Y., Walfisch, A., Sheiner, E., Sergienko, R., Rosenbloom, J., Unger, R., Yagel, S., & Hochler, H. (2021). Transporting an Artificial Intelligence Model to Predict Emergency Cesarean Delivery:Overcoming Challenges Posed by Interfacility Variation. Journal of medical Internet research, 23(12), Article e28120. https://doi.org/10.2196/28120

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Guedalia, J, Lipschuetz, M, Cohen, SM, Sompolinsky, Y, Walfisch, A, Sheiner, E, Sergienko, R, Rosenbloom, J, Unger, R, Yagel, S & Hochler, H 2021, 'Transporting an Artificial Intelligence Model to Predict Emergency Cesarean Delivery:Overcoming Challenges Posed by Interfacility Variation', Journal of medical Internet research, vol. 23, no. 12, e28120. https://doi.org/10.2196/28120

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AU - Guedalia, Joshua

AU - Lipschuetz, Michal

AU - Cohen, Sarah M.

AU - Sompolinsky, Yishai

AU - Walfisch, Asnat

AU - Sheiner, Eyal

AU - Sergienko, Ruslan

AU - Rosenbloom, Joshua

AU - Unger, Ron

AU - Yagel, Simcha

AU - Hochler, Hila

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KW - Algorithm transport

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KW - Health care facilities

KW - Health outcomes

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

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