Development and clinical validation of real-time artificial intelligence diagnostic companion for fetal ultrasound examination.

Journal: Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology
Published Date: Sep 1, 2023

Abstract

OBJECTIVE: Prenatal diagnosis of a rare disease on ultrasound relies on a physician's ability to remember an intractable amount of knowledge. We developed a real-time decision support system (DSS) that suggests, at each step of the examination, the next phenotypic feature to assess, optimizing the diagnostic pathway to the smallest number of possible diagnoses. The objective of this study was to evaluate the performance of this real-time DSS using clinical data.

Authors

  • J J Stirnemann
    Department of Obstetrics and Maternal-Fetal Medicine, Necker-Enfants Malades Hospital, AP-HP, Paris, France.
  • R Besson
    SONIO SAS, Paris, France.
  • E Spaggiari
    Department of Obstetrics and Maternal-Fetal Medicine, Necker-Enfants Malades Hospital, AP-HP, Paris, France.
  • S Rojo
    SONIO SAS, Paris, France.
  • F Loge
    SONIO SAS, Paris, France.
  • H Peyro-Saint-Paul
    SONIO SAS, Paris, France.
  • S Allassonniere
    School of Medicine, Université de Paris, INRIA EPI HEKA, INSERM UMR 1138, Sorbonne Université, Paris, France.
  • E Le Pennec
    Center for Applied Mathematics, Ecole Polytechnique, Institut Polytechnique de Paris, Paris, France.
  • C Hutchinson
    NIHR Great Ormond Street Hospital Biomedical Research Centre, London, UK.
  • N Sebire
    NIHR Great Ormond Street Hospital Biomedical Research Centre, London, UK.
  • Y Ville
    Department of Obstetrics and Maternal-Fetal Medicine, Necker-Enfants Malades Hospital, AP-HP, Paris, France.

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