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Traditional versus modern approaches to screening mammography: a comparison of computer-assisted detection for synthetic 2D mammography versus an artificial intelligence algorithm for digital breast tomosynthesis

Crossref DOI link: https://doi.org/10.1007/s10549-024-07589-z

Published Online: 2025-01-09

Published Print: 2025-04

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Bahl, Manisha

Kshirsagar, Ashwini

Pohlman, Scott

Lehman, Constance D.
Funding

Funding for this research was provided by:

Hologic, Inc.
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Text and Data Mining valid from 2025-01-09

Version of Record valid from 2025-01-09
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Article History

Received: 21 July 2024

Accepted: 17 December 2024

First Online: 9 January 2025

Declarations

:

: Financial interests: Dr. Bahl is a consultant for Hologic, Inc., Lunit, Inc., and Accolade, Inc. Dr. Bahl has institutional research grants from Hologic, Inc., and Lunit, Inc. Dr. Kshirsagar is an employee of Hologic, Inc. Mr. Pohlman is an employee of Hologic, Inc. Dr. Lehman is a consultant for Hologic, Inc., and co-founder of Clairity, Inc. She has institutional research grants from Hologic, Inc., and GE HealthCare Technologies, Inc. Non-financial interests: The authors have no relevant non-financial interest to disclosure.

: Screening mammographic examinations were collected under an IRB-approved case collection protocol with a waiver for written informed consent.

: This retrospective study was exempted from the written informed consent requirement.

: Not applicable.

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