Assessment of an AI-based tool for population-wide collection of placental morphological data.

Journal: European journal of obstetrics, gynecology, and reproductive biology
PMID: 38852316

Abstract

OBJECTIVES: Automated placental assessment could allow accurate and timely morphological/pathological measurements at scale. We undertook a pilot study using an artificial intelligence-based assessment system (AI-PLAX) to ascertain the potential of a state-wide rollout as part of Generation Victoria, assessing the impact of time post-delivery, user, and technology used for image capture, on a range of derived placental data.

Authors

  • E J Camm
    The Ritchie Centre, Hudson Institute of Medical Research, Clayton, VIC, Australia. Electronic address: emily.camm@hudson.org.au.
  • G Wong
    Translational Obstetrics Group, Mercy Hospital for Women, Dept. of Obstetrics and Gynaecology, University of Melbourne, Heidelberg, VIC, Australia.
  • Y Pan
    College of Information Sciences and Technology, The Pennsylvania State University, University Park, PA, USA.
  • J Z Wang
    College of Information Sciences and Technology, The Pennsylvania State University, University Park, PA, USA.
  • J A Goldstein
    Department of Pathology, Northwestern Feinberg School of Medicine, Chicago, IL, USA.
  • A Arcot
    Department of Nutritional Sciences, The Pennsylvania State University, University Park, PA, USA.
  • C N Murphy
    Translational Obstetrics Group, Mercy Hospital for Women, Dept. of Obstetrics and Gynaecology, University of Melbourne, Heidelberg, VIC, Australia.
  • H Hansji
    Murdoch Children's Research Institute, The Royal Children's Hospital, Parkville, VIC, Australia.
  • Y T Mangwiro
    Murdoch Children's Research Institute, The Royal Children's Hospital, Parkville, VIC, Australia.
  • R Saffery
    Murdoch Children's Research Institute, The Royal Children's Hospital, Parkville, VIC, Australia; Department of Paediatrics, The University of Melbourne, Melbourne, VIC, Australia.
  • M E Wlodek
    Translational Obstetrics Group, Mercy Hospital for Women, Dept. of Obstetrics and Gynaecology, University of Melbourne, Heidelberg, VIC, Australia; Murdoch Children's Research Institute, The Royal Children's Hospital, Parkville, VIC, Australia.
  • C S Wyrwoll
    School of Human Sciences, The University of Western Australia, Perth, WA, Australia.
  • A D Gernand
    Department of Nutritional Sciences, The Pennsylvania State University, University Park, PA, USA.
  • T J Kaitu'u-Lino
    Translational Obstetrics Group, Mercy Hospital for Women, Dept. of Obstetrics and Gynaecology, University of Melbourne, Heidelberg, VIC, Australia.

Keywords

External Resources

Popular Topics
Recent Journals