Artificial intelligence for digital breast tomosynthesis: Impact on diagnostic performance, reading times, and workload in the era of personalized screening
The ultimate goals of the application of artificial intelligence (AI) to digital breast
tomosynthesis (DBT) are the reduction of reading times, the increase of diagnostic …
tomosynthesis (DBT) are the reduction of reading times, the increase of diagnostic …
Artificial intelligence detection of missed cancers at digital mammography that were detected at digital breast tomosynthesis
V Dahlblom, I Andersson, K Lång… - Radiology: Artificial …, 2021 - pubs.rsna.org
Purpose To investigate how an artificial intelligence (AI) system performs at digital
mammography (DM) from a screening population with ground truth defined by digital breast …
mammography (DM) from a screening population with ground truth defined by digital breast …
Artificial intelligence for reducing workload in breast cancer screening with digital breast tomosynthesis
Background Digital breast tomosynthesis (DBT) has higher diagnostic accuracy than digital
mammography, but interpretation time is substantially longer. Artificial intelligence (AI) could …
mammography, but interpretation time is substantially longer. Artificial intelligence (AI) could …
Impact of artificial intelligence support on accuracy and reading time in breast tomosynthesis image interpretation: a multi-reader multi-case study
SL van Winkel, A Rodríguez-Ruiz, L Appelman… - European …, 2021 - Springer
Objectives Digital breast tomosynthesis (DBT) increases sensitivity of mammography and is
increasingly implemented in breast cancer screening. However, the large volume of images …
increasingly implemented in breast cancer screening. However, the large volume of images …
Digital breast tomosynthesis: radiologist learning curve
Background There is growing evidence that digital breast tomosynthesis (DBT) results in
lower recall rates and higher cancer detection rates when compared with digital …
lower recall rates and higher cancer detection rates when compared with digital …
Use of artificial intelligence for digital breast tomosynthesis screening: a preliminary real-world experience
H Letter, M Peratikos, A Toledano… - Journal of Breast …, 2023 - academic.oup.com
Objective The purpose of this study is to assess the “real-world” impact of an artificial
intelligence (AI) tool designed to detect breast cancer in digital breast tomosynthesis (DBT) …
intelligence (AI) tool designed to detect breast cancer in digital breast tomosynthesis (DBT) …
New horizons: artificial intelligence for digital breast tomosynthesis
The use of digital breast tomosynthesis (DBT) in breast cancer screening has become
widely accepted, facilitating increased cancer detection and lower recall rates compared …
widely accepted, facilitating increased cancer detection and lower recall rates compared …
Impact of AI for digital breast tomosynthesis on breast cancer detection and interpretation time
EK Park, SY Kwak, W Lee, JS Choi, T Kooi… - Radiology: Artificial …, 2024 - pubs.rsna.org
Purpose To develop an artificial intelligence (AI) model for the diagnosis of breast cancer on
digital breast tomosynthesis (DBT) images and to investigate whether it could improve …
digital breast tomosynthesis (DBT) images and to investigate whether it could improve …
Impact of a categorical AI system for digital breast tomosynthesis on breast cancer interpretation by both general radiologists and breast imaging specialists
JG Kim, B Haslam, AR Diab, A Sakhare… - Radiology: Artificial …, 2024 - pubs.rsna.org
Purpose To evaluate performance improvements of general radiologists and breast imaging
specialists when interpreting a set of diverse digital breast tomosynthesis (DBT) …
specialists when interpreting a set of diverse digital breast tomosynthesis (DBT) …
Impact of artificial intelligence decision support using deep learning on breast cancer screening interpretation with single-view wide-angle digital breast tomosynthesis
MC Pinto, A Rodriguez-Ruiz, K Pedersen, S Hofvind… - Radiology, 2021 - pubs.rsna.org
Background The high volume of data in digital breast tomosynthesis (DBT) and the lack of
agreement on how to best implement it in screening programs makes its use challenging …
agreement on how to best implement it in screening programs makes its use challenging …
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