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 …
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 …
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 …
Improving accuracy and efficiency with concurrent use of artificial intelligence for digital breast tomosynthesis
EF Conant, AY Toledano, S Periaswamy… - Radiology: Artificial …, 2019 - pubs.rsna.org
Purpose To evaluate the use of artificial intelligence (AI) to shorten digital breast
tomosynthesis (DBT) reading time while maintaining or improving accuracy. Materials and …
tomosynthesis (DBT) reading time while maintaining or improving accuracy. Materials and …
Breast cancer screening with digital breast tomosynthesis: comparison of different reading strategies implementing artificial intelligence
V Dahlblom, M Dustler, A Tingberg, S Zackrisson - European Radiology, 2023 - Springer
Objectives Digital breast tomosynthesis (DBT) can detect more cancers than the current
standard breast screening method, digital mammography (DM); however, it can substantially …
standard breast screening method, digital mammography (DM); however, it can substantially …
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) …
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 …
A data set and deep learning algorithm for the detection of masses and architectural distortions in digital breast tomosynthesis images
Importance Breast cancer screening is among the most common radiological tasks, with
more than 39 million examinations performed each year. While it has been among the most …
more than 39 million examinations performed each year. While it has been among the most …
Improving digital breast tomosynthesis reading time: a pilot multi-reader, multi-case study using concurrent computer-aided detection (CAD)
C Balleyguier, J Arfi-Rouche, L Levy… - European journal of …, 2017 - Elsevier
Abstract Purpose Evaluate concurrent Computer-Aided Detection (CAD) with Digital Breast
Tomosynthesis (DBT) to determine impact on radiologist performance and reading time …
Tomosynthesis (DBT) to determine impact on radiologist performance and reading time …
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