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

Journal: Journal of medical Internet research
PMID: 34890352

Abstract

Research using artificial intelligence (AI) in medicine is expected to significantly influence the practice of medicine and the delivery of health care in the near future. However, for successful deployment, the results must be transported across health care facilities. We present a cross-facilities application of an AI model that predicts the need for an emergency caesarean during birth. The transported model showed benefit; however, there can be challenges associated with interfacility variation in reporting practices.

Authors

  • Joshua Guedalia
    The Mina and Everard Goodman Faculty of Life Sciences, Bar-Ilan University, Ramat-Gan, Israel.
  • Michal Lipschuetz
    The Mina and Everard Goodman Faculty of Life Sciences, Bar-Ilan University, Ramat-Gan, Israel; Obstetrics & Gynecology Division, Hadassah-Hebrew University Medical Center, Jerusalem, Israel.
  • Sarah M Cohen
    Obstetrics & Gynecology Division, Hadassah-Hebrew University Medical Center, Jerusalem, Israel.
  • Yishai Sompolinsky
    Obstetrics & Gynecology Division, Hadassah-Hebrew University Medical Center, Jerusalem, Israel.
  • Asnat Walfisch
    Division of Obstetrics & Gynecology, Hadassah Medical Organization and Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem, Israel.
  • Eyal Sheiner
    Department of Obstetrics and Gynecology, Soroka University Medical Center, Ben-Gurion University of the Negev, Beer-Sheva, Israel.
  • Ruslan Sergienko
    Department of Public Health, School of Public Health, Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer-Sheva, Israel.
  • Joshua Rosenbloom
    Division of Obstetrics & Gynecology, Hadassah Medical Organization and Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem, Israel.
  • Ron Unger
    Roni Shouval, Hila Mishan-Shamay, Avichai Shimoni, and Arnon Nagler, The Chaim Sheba Medical Center, Tel-Hashomer; Roni Shouval, Ori Bondi, and Ron Unger, Bar-Ilan University, Ramat-Gan, Israel; Myriam Labopin, Norbert C. Gorin, Emmanuelle Polge, Arnon Nagler, and Mohamad Mohty, European Group for Blood and Marrow Transplantation; Myriam Labopin and Mohamad Mohty, Sorbonne Universités, Centre de Recherche (CDR) Saint-Antoine; Myriam Labopin and Mohamad Mohty, Institut National de la Santé et de la Recherche Médicale, CDR Saint-Antoine; Myriam Labopin and Mohamad Mohty, Assistance Publique-Hôpitaux de Paris, Hôpital Saint-Antoine, Paris, France; Fabio Ciceri, San Raffaele Scientific Institute, Milan; Andrea Bacigalupo, Ospedale San Martino, Genoa, Italy; Jordi Esteve, Institut d'Investigacions Biomèdiques August Pi i Sunyer, Barcelona, Spain; Sebastian Giebel, Maria Sklodowska-Curie Memorial Cancer Center and Institute of Oncology, Gliwice, Poland; Christoph Schmid, Ludwig-Maximilians-University, Munich; Nicolaus Kroger, University Medical Center Hamburg Eppendorf, Hamburg, Germany; Mahmoud Aljurf, King Faisal Specialist Hospital & Research Centre, Riyadh, Saudi Arabia; Charles Craddock, Queen Elizabeth Hospital, Birmingham, United Kingdom; Jan J. Cornelissen, Erasmus University Medical Center, Rotterdam, the Netherlands; and Frederic Baron, University of Liège, Liège, Belgium.
  • Simcha Yagel
    Obstetrics & Gynecology Division, Hadassah-Hebrew University Medical Center, Jerusalem, Israel. Electronic address: simcha.yagel@gmail.com.
  • Hila Hochler
    Division of Obstetrics & Gynecology, Hadassah Medical Organization and Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem, Israel.

Keywords

External Resources

Popular Topics
Recent Journals