AI-based analysis of fetal growth restriction in a prospective obstetric cohort quantifies compound risks for perinatal morbidity and mortality and identifies previously unrecognized high risk clinical scenarios.

Journal: BMC pregnancy and childbirth
PMID: 39881241

Abstract

BACKGROUND: Fetal growth restriction (FGR) is a leading risk factor for stillbirth, yet the diagnosis of FGR confers considerable prognostic uncertainty, as most infants with FGR do not experience any morbidity. Our objective was to use data from a large, deeply phenotyped observational obstetric cohort to develop a probabilistic graphical model (PGM), a type of "explainable artificial intelligence (AI)", as a potential framework to better understand how interrelated variables contribute to perinatal morbidity risk in FGR.

Authors

  • Raquel M Zimmerman
    Department of Biomedical Informatics, University of Utah Health, Salt Lake City, UT, USA.
  • Edgar J Hernandez
    Utah Center for Genetic Discovery, Department of Human Genetics, University of Utah Health, Salt Lake City, UT, USA.
  • Mark Yandell
    Eccles Institute of Human Genetics (M.Y.), University of Utah, Salt Lake City.
  • Martin Tristani-Firouzi
    Division of Pediatric Cardiology (M.T.-F.), University of Utah School of Medicine, Salt Lake City.
  • Robert M Silver
    Department of Obstetrics and Gynecology, University of Utah, Salt Lake City, UT.
  • William Grobman
    Department of Obstetrics and Gynecology, Warren Alpert Medical School, Brown University, Providence, RI, USA.
  • David Haas
    Department of Obstetrics and Gynecology, Indiana University, Indianapolis, IN, USA.
  • George Saade
    Department of Obstetrics and Gynecology, Eastern Virginia Medical School, Norfolk, VA, USA.
  • Jonathan Steller
    Department of Obstetrics & Gynecology, Division of Maternal Fetal Medicine, University of California, Irvine, Orange, CA, USA.
  • Nathan R Blue
    Department of Obstetrics and Gynecology, Division of Maternal-Fetal Medicine, University of Utah Health, 30 N. Mario Capecchi Dr., Level 5 South, Salt Lake City, UT, 84132, USA. nblue1297@gmail.com.

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