Artificial intelligence and breast screening: French Radiology Community position paper - 25/09/19
, C. Balleyguier c, L. Ceugnart d, P. Heid e, G. Lenczner f, A. Maire g, B. Séradour d, L. Verzaux e, P. Taourel cand
Conseil national professionnel de la radiologie et imagerie médicale (G4)
Bienvenue sur EM-consulte, la référence des professionnels de santé.
Article gratuit.
Connectez-vous pour en bénéficier!
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.
Le texte complet de cet article est disponible en PDF.Keywords : Artificial intelligence, Breast cancer, Screening program, Digital breast tomosynthesis, Digital mammography
Abbreviations : AI, MG, MLO, CC, CAD, ANN, CNN, Synth2DMG, QC, DL, R2, FDA, DBT, AP-HP
Plan
Vol 100 - N° 10
P. 553-566 - octobre 2019 Retour au numéro
Article précédent
- Breast tomosynthesis: What do we know and where do we stand?
- C. Mandoul, C. Verheyden, I. Millet, C. Orliac, E. Pages, I. Thomassin, P. Taourel
- Breast sonoelastography: Now and in the future
- B. Mesurolle, M. El Khoury, F. Chammings, M. Zhang, S. Sun
Bienvenue sur EM-consulte, la référence des professionnels de santé.