Artificial intelligence and breast screening: French Radiology Community position paper.

Journal: Diagnostic and interventional imaging
Published Date:

Abstract

The objective of this article was to evaluate the evidence currently available about the clinical value of artificial intelligence (AI) in breast imaging. Nine experts from the disciplines involved in breast disease management - including physicists and radiologists - convened a meeting on June 3, 2019 to discuss the evidence for the use of this technology in plenary and focused sessions. Prior to the meeting, the group performed a literature review on predefined topics. This paper presents the consensus reached by this working group on recommendations for the future use of AI in breast screening and related research topics.

Authors

  • I Thomassin-Naggara
    Collège des Enseignants de Radiologie de France (CERF), 75013 Paris, France; Sorbonne Université & Tenon Hospital-AP-HP, 75020 Paris, France. Electronic address: isabelle.thomassin@aphp.fr.
  • C Balleyguier
    Radiology Department, Institut Gustave-Roussy, 94805 Villejuif, France.
  • L Ceugnart
    Société Francaise de Sénologie Pathologie Mammaire (SFSPM), 67000 Strasbourg, France.
  • P Heid
    Société Francaise de Radiologie, 75013 Paris, France.
  • G Lenczner
    Fédération Nationale des Médecins Radiologues, 75007 Paris, France.
  • A Maire
    AP-HP, Équipe Wind, 75012 Paris, France.
  • B Séradour
    Société Francaise de Sénologie Pathologie Mammaire (SFSPM), 67000 Strasbourg, France.
  • L Verzaux
    Société Francaise de Radiologie, 75013 Paris, France.
  • P Taourel
    Société d'Imagerie de la Femme (SIFEM), 75014 Paris, France.