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Article History

Received: 3 June 2023

Revised: 17 November 2023

Accepted: 2 December 2023

First Online: 4 January 2024

Declarations

:

: The scientific guarantor of this publication is Marina Álvarez Benito.

: The authors of this manuscript declare no relationships with any companies, whose products or services may be related to the subject matter of the article.

: One of the authors has significant statistical expertise: Pilar Font Ugalde.• Maimónides Biomedical Research Institute of Córdoba (IMIBIC) Córdoba, Spain.• University of Córdoba, Spain.• Reumatology Service, Reina Sofía University Hospital, Menéndez Pidal Avenue s/n, 14004 Córdoba, Spain.María Pata (Biostatech) kindly provided statistical advice for this manuscript.

: Written informed consent was waived by the Institutional Review Board.

: Institutional Review Board approval was obtained.

: Some study subjects or cohorts (study population) have been previously reported in:-<i>Romero Martín S, Raya Povedano JL, Cara García M, Santos Romero AL, Pedrosa Garriguet M, Álvarez Benito M (2018) Prospective study aiming to compare 2D mammography and tomosynthesis</i> + <i>synthesized mammography in terms of cancer detection and recall. From double reading of 2D mammography to single reading of tomosynthesis. Eur Radiol 28(6):2484–91</i>.This paired trial compared the screening performance of DM versus DBT in terms of recall and detection rate.-<i>Jose Luis Raya-Povedano MD, Sara Romero-Martín phD MD, Esperanza Elías-Cabot MD, Albert Guberm-Mérida, Alejandro Rodriguez-Ruiz phD and Marina Álvarez-Benito phD MD (2021) AI-based strategies to reduce workload in breast cancer screening with mammography and tomosynthesis. Radiology 000:1–9.</i>This publication studied the ability of artificial intelligence to reduce the workload of reading screening.<i>- Sara Romero-Martín phD MD, Esperanza Elías-Cabot MD, Jose Luis Raya-Povedano MD, Albert Guberm-Mérida, Alejandro Rodriguez-Ruiz phD and Marina Álvarez-Benito phD MD (2022) Stand-alone use of artificial intelligence form digital mammography and digital breast tomosynthesis screening. Radiology 302: 535–542.</i>This paper retrospectively evaluated the stand-alone performance of an artificial intelligence systems as an independent reader of DM and DBT examinations.

: • retrospective• diagnostic or prognostic study• performed at one institution