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

Viewpoints and Perspectives (514) Artificial Intelligence (1371) Clinical Information and Decision Making (1407) Machine Learning (1465) Decision Support for Health Professionals (1185) Obstetrics, Gynecology, and Reproductive Medicine (225)

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 Guedalia1 Author Orcid Image ;   Michal Lipschuetz1, 2 Author Orcid Image ;   Sarah M Cohen2 Author Orcid Image ;   Yishai Sompolinsky2 Author Orcid Image ;   Asnat Walfisch2 Author Orcid Image ;   Eyal Sheiner3 Author Orcid Image ;   Ruslan Sergienko4 Author Orcid Image ;   Joshua Rosenbloom2 Author Orcid Image ;   Ron Unger1 Author Orcid Image ;   Simcha Yagel2 Author Orcid Image ;   Hila Hochler2 Author Orcid Image
Article Authors Cited by (2) Tweetations (4) Metrics

Altmetric

Altmetric discovers Social Media mentions. Click the ‘See more details’ link for a full report.

Dimensions

Dimensions discovers Citations. Click the ‘details’ link for a full report.

Metrics Since Publication

Download .csv
Daily | Monthly | Annually