Evaluation of the Combination of Artificial Intelligence and Radiologist Assessments to Interpret Malignant Architectural Distortion on Mammography

Evaluation of the Combination of Artificial Intelligence and Radiologist Assessments to Interpret Malignant Architectural Distortion on Mammography

PurposeTo compare the mammographic malignant architectural distortion (AD) detection performance of radiologists who read mammographic examinations unaided versus those who read these examinations with the support of artificial intelligence (AI) systems.Material and MethodsThis retrospective case-co...

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Bibliographic Details
Main Authors: Yun Wan, Yunfei Tong, Yuanyuan Liu, Yan Huang, Guoyan Yao, Daniel Q. Chen, Bo Liu
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-04-01
Series:Frontiers in Oncology
Subjects:
artificial intelligence
architectural distortion
mammography
breast cancer
malignant
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2022.880150/full

Internet

https://www.frontiersin.org/articles/10.3389/fonc.2022.880150/full

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