This paper is in the following e-collection/theme issue:

Viewpoints and Perspectives (438) Artificial Intelligence (912) Clinical Information and Decision Making (1113) Machine Learning (1189) Decision Support for Health Professionals (922) Obstetrics, Gynecology, and Reproductive Medicine (161)

Published on in Vol 23, No 12 (2021): December

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/28120, first published .
Transporting an Artificial Intelligence Model to Predict Emergency Cesarean Delivery: Overcoming Challenges Posed by Interfacility Variation

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

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

Authors of this article:

Joshua Guedalia 1 Author Orcid Image ;   Michal Lipschuetz 1, 2 Author Orcid Image ;   Sarah M Cohen 2 Author Orcid Image ;   Yishai Sompolinsky 2 Author Orcid Image ;   Asnat Walfisch 2 Author Orcid Image ;   Eyal Sheiner 3 Author Orcid Image ;   Ruslan Sergienko 4 Author Orcid Image ;   Joshua Rosenbloom 2 Author Orcid Image ;   Ron Unger 1 Author Orcid Image ;   Simcha Yagel 2 Author Orcid Image ;   Hila Hochler 2 Author Orcid Image
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