Artificial intelligence-based diagnosis in fetal pathology using external ear shapes.

Journal: Prenatal diagnosis
Published Date: Apr 18, 2024

Abstract

OBJECTIVE: Here we trained an automatic phenotype assessment tool to recognize syndromic ears in two syndromes in fetuses-=CHARGE and Mandibulo-Facial Dysostosis Guion Almeida type (MFDGA)-versus controls.

Authors

  • Quentin Hennocq
    Imagine Institute, INSERM UMR1163, 75015, Paris, France. quentin.hennocq@aphp.fr.
  • Nicolas Garcelon
    Plateforme data science - institut des maladies génétiques Imagine, Inserm, centre de recherche des Cordeliers, UMR 1138 équipe 22, institut Imagine, Paris-Descartes, université Sorbonne- Paris Cité, Paris, France.
  • Thomas Bongibault
    Imagine Institute, INSERM UMR1163, 75015, Paris, France.
  • Thomas Bouygues
    Imagine Institute, INSERM UMR1163, 75015, Paris, France.
  • Sandrine Marlin
    Imagine Institute, INSERM UMR1163, Paris, France.
  • Jeanne Amiel
    Imagine Institute, INSERM UMR1163, 75015, Paris, France.
  • Lucile Boutaud
    Faculté de Médecine, Université de Paris Cité, Paris, France.
  • Maxime Douillet
    Institut Imagine, Paris Descartes University-Sorbonne Paris Cité, Paris, France.
  • Stanislas Lyonnet
    Imagine Institute, INSERM UMR1163, 75015, Paris, France.
  • Vèronique Pingault
    Imagine Institute, INSERM UMR1163, Paris, France.
  • Arnaud Picard
    Service de chirurgie maxillo-faciale et chirurgie plastique, Hôpital Necker-Enfants Malades, Assistance Publique-Hôpitaux de Paris, Paris, France.
  • Marlèe Rio
    Imagine Institute, INSERM UMR1163, Paris, France.
  • Tania Attie-Bitach
    Imagine Institute, INSERM UMR1163, 75015, Paris, France.
  • Roman H Khonsari
    Department of Maxillofacial Surgery and Plastic Surgery, Necker - Enfants Malades University Hospital, Paris, France.
  • Nathalie Roux
    Imagine Institute, INSERM UMR1163, Paris, France.

Keywords

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