Artificial intelligence and breast screening: French Radiology Community position paper

Autor: L Verzaux, B Séradour, A Maire, G Lenczner, Corinne Balleyguier, P Heid, Isabelle Thomassin-Naggara, Patrice Taourel, Luc Ceugnart
Přispěvatelé: CHU Tenon [AP-HP], Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Sorbonne Université (SU), Hôpital Lapeyronie [Montpellier] (CHU)
Rok vydání: 2019
Předmět:
Zdroj: Diagnostic and Interventional Imaging
Diagnostic and Interventional Imaging, Elsevier, 2019, 100 (10), pp.553-566. ⟨10.1016/j.diii.2019.08.005⟩
ISSN: 2211-5684
DOI: 10.1016/j.diii.2019.08.005⟩
Popis: International audience; 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.
Databáze: OpenAIRE