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

Viewpoints and Perspectives (364) Artificial Intelligence (617) Clinical Information and Decision Making (855) Machine Learning (953) Decision Support for Health Professionals (697) Obstetrics, Gynecology, and Reproductive Medicine (120)

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
Article Authors Cited by Tweetations (4) Metrics
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