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Diagn Interv Imaging · Oct 2019
Artificial intelligence and breast screening: French Radiology Community position paper.
- I Thomassin-Naggara, C Balleyguier, L Ceugnart, P Heid, G Lenczner, A Maire, B Séradour, L Verzaux, P Taourel, and Conseil national professionnel de la radiologie et imagerie médicale (G4).
- 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.
- Diagn Interv Imaging. 2019 Oct 1; 100 (10): 553-566.
AbstractThe 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.Copyright © 2019 Société française de radiologie. Published by Elsevier Masson SAS. All rights reserved.
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