Role of artificial-intelligence-assisted automated cardiac biometrics in prenatal screening for coarctation of aorta.

Journal: Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology
PMID: 38339776

Abstract

OBJECTIVE: Although remarkable strides have been made in fetal medicine and the prenatal diagnosis of congenital heart disease, around 60% of newborns with isolated coarctation of the aorta (CoA) are not identified prior to birth. The prenatal detection of CoA has been shown to have a notable impact on survival rates of affected infants. To this end, implementation of artificial intelligence (AI) in fetal ultrasound may represent a groundbreaking advance. We aimed to investigate whether the use of automated cardiac biometric measurements with AI during the 18-22-week anomaly scan would enhance the identification of fetuses that are at risk of developing CoA.

Authors

  • C A Taksøe-Vester
    Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
  • K Mikolaj
    Technical University of Denmark, Lyngby, Denmark.
  • O B B Petersen
    Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
  • N G Vejlstrup
    Department of Cardiology, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark.
  • A N Christensen
    Department of Applied Mathematics and Computer Science, Technical University of Denmark, Lyngby, Denmark.
  • A Feragen
    Technical University of Denmark, Lyngby, Denmark.
  • M Nielsen
    Center for Biological Sequence Analysis, Department of Bio and Health Informatics, Technical University of Denmark, Lyngby, Denmark.
  • M B S Svendsen
    Copenhagen Academy for Medical Education and Simulation, Rigshospitalet, Center for Human Resources and Education, Copenhagen, Denmark.
  • M G Tolsgaard
    Copenhagen Academy for Medical Education and Simulation, Rigshospitalet, Center for Human Resources and Education, Copenhagen, Denmark.

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