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, Israel

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

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

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

*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, 9765415
  • Israel
  • Phone: 972 25841111
  • Email: michal.lipschuetz@gmail.com