Artificial intelligence and breast screening: French Radiology Community position paper

Conseil national professionnel de la radiologie et imagerie médicale (G4)

doi:10.1016/j.diii.2019.08.005

Artificial intelligence and breast screening: French Radiology Community position paper

Conseil national professionnel de la radiologie et imagerie médicale (G4)

Résultats de recherche: Contribution à un journal › Brève enquête › Revue par des pairs

20 Citations (Scopus)

Résumé

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.

langue originale	Anglais
Pages (de - à)	553-566
Nombre de pages	14
journal	Diagnostic and Interventional Imaging
Volume	100
Numéro de publication	10
Les DOIs	https://doi.org/10.1016/j.diii.2019.08.005
état	Publié - 1 oct. 2019
Modification externe	Oui

Accès au document

10.1016/j.diii.2019.08.005

Autres fichiers et liens

Lien vers la publication dans Scopus

Contient cette citation

@article{4be234b25ce74d7fba0c2403ea28846c,

title = "Artificial intelligence and breast screening: French Radiology Community position paper",

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.",

keywords = "Artificial intelligence, Breast cancer, Digital breast tomosynthesis, Digital mammography, Screening program",

author = "{Conseil national professionnel de la radiologie et imagerie m{\'e}dicale (G4)} and I. Thomassin-Naggara and C. Balleyguier and L. Ceugnart and P. Heid and G. Lenczner and A. Maire and B. S{\'e}radour and L. Verzaux and P. Taourel",

note = "Publisher Copyright: {\textcopyright} 2019 Soci{\'e}t{\'e} fran{\c c}aise de radiologie",

year = "2019",

month = oct,

day = "1",

doi = "10.1016/j.diii.2019.08.005",

language = "English",

volume = "100",

pages = "553--566",

journal = "Diagnostic and Interventional Imaging",

issn = "2211-5684",

number = "10",

}

TY - JOUR

T1 - Artificial intelligence and breast screening

T2 - French Radiology Community position paper

AU - Conseil national professionnel de la radiologie et imagerie médicale (G4)

AU - Thomassin-Naggara, I.

AU - Balleyguier, C.

AU - Ceugnart, L.

AU - Heid, P.

AU - Lenczner, G.

AU - Maire, A.

AU - Séradour, B.

AU - Verzaux, L.

AU - Taourel, P.

PY - 2019/10/1

Y1 - 2019/10/1

N2 - 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.

AB - 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.

KW - Artificial intelligence

KW - Breast cancer

KW - Digital breast tomosynthesis

KW - Digital mammography

KW - Screening program

UR - http://www.scopus.com/inward/record.url?scp=85072076483&partnerID=8YFLogxK

U2 - 10.1016/j.diii.2019.08.005

DO - 10.1016/j.diii.2019.08.005

M3 - Short survey

C2 - 31523026

AN - SCOPUS:85072076483

SN - 2211-5684

VL - 100

SP - 553

EP - 566

JO - Diagnostic and Interventional Imaging

JF - Diagnostic and Interventional Imaging

IS - 10

ER -