Impact of AI for Digital Breast Tomosynthesis on Breast Cancer Detection and Interpretation Time-Reference-Cited by-同舟云学术

Impact of AI for Digital Breast Tomosynthesis on Breast Cancer Detection and Interpretation Time

Published:2024-05-01 Issue:3 Volume:6 Page:
ISSN:2638-6100
Container-title:Radiology: Artificial Intelligence
language:en
Short-container-title:Radiology: Artificial Intelligence

Author:

Park Eun Kyung¹^ORCID,Kwak SooYoung¹^ORCID,Lee Weonsuk¹^ORCID,Choi Joon Suk¹^ORCID,Kooi Thijs¹^ORCID,Kim Eun-Kyung¹^ORCID

Affiliation:

1. From Lunit, 374 Gangnam-daero, Gangnam-gu, Seoul 06241, Republic of Korea (E.K.P., S.Y.K., W.L., J.S.C., T.K.); and Department of Radiology, Yongin Severance Hospital, College of Medicine, Yonsei University, Yongin, Republic of Korea (E.K.K.).

Publisher

Radiological Society of North America (RSNA)

Link

http://pubs.rsna.org/doi/pdf/10.1148/ryai.230318

Reference30 articles.

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5. Breast cancer screening with tomosynthesis (3D mammography) with acquired or synthetic 2D mammography compared with 2D mammography alone (STORM-2): a population-based prospective study

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1. Artificial Intelligence (AI)-Based Computer-Assisted Detection and Diagnosis for Mammography: An Evidence-Based Review of Food and Drug Administration (FDA)-Cleared Tools for Screening Digital Breast Tomosynthesis (DBT);AI in Precision Oncology;2024-08-01

2. Value of automated breast ultrasound in screening: Standalone and as a supplemental to digital breast tomosynthesis;International Journal of Cancer;2024-07-11

3. AI Improves Cancer Detection and Reading Time of Digital Breast Tomosynthesis;Radiology: Artificial Intelligence;2024-05-01