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

Joshua Guedalia 1 * , MBA, PhD ;   Michal Lipschuetz 1, 2 * , RN, PhD ;   Sarah M Cohen 2 , MPH ;   Yishai Sompolinsky 2 , MD ;   Asnat Walfisch 2 , MD ;   Eyal Sheiner 3 , MD ;   Ruslan Sergienko 4 , MA ;   Joshua Rosenbloom 2 , MD ;   Ron Unger 1 , PhD ;   Simcha Yagel 2 , MD ;   Hila Hochler 2 , MD

1 The Mina and Everard Goodman Faculty of Life Sciences , Bar-Ilan University , Ramat Gan , IL

2 Division of Obstetrics & Gynecology , Hadassah Medical Organization and Faculty of Medicine , Hebrew University of Jerusalem , Jerusalem , IL

3 Department of Obstetrics and Gynecology , Soroka University Medical Center , Ben-Gurion University of the Negev , Beer-Sheva , IL

4 Department of Public Health , School of Public Health, Faculty of Health Sciences , Ben-Gurion University of the Negev , Beer-Sheva , IL

*these authors contributed equally

Corresponding Author:

  • Michal Lipschuetz, RN, PhD
  • Division of Obstetrics & Gynecology
  • Hadassah Medical Organization and Faculty of Medicine
  • Hebrew University of Jerusalem
  • Churchill Avn. 8
  • Jerusalem
  • IL
  • Phone: 972 25841111
  • Email: michal.lipschuetz@gmail.com