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The use of artificial intelligence software in breast screening (Transpara®) makes it possible to identify studies with a very low probability of cancer.
The hypothesis raised in this work is that reading strategies based on artificial intelligence (single or double reading only of cases with a score> 7 with Transpara®), allow reducing the workload of a screening program by more than 50 % with respect to the standard reading of the program (double reading of all cases without Transpara®), without presenting inferiority in terms of detection rates and recalls of the program, both with the use of 2D digital mammography and with the use of tomosynthesis or 3D mammogram.
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Inclusion criteria
All women between 50 and 71 years of age (including women who reach that age in the year of appointment), in the Reina Sofía University Hospital district, invited to participate in the Breast Cancer Early Detection Program, that have been randomly assigned in the Hologic equipment (DM or DBT), and who agree to participate in the study by signing the informed consent form.
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31,301 participants in 1 patient group
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Central trial contact
Esperanza Elias Cabot, MD; Cristina Amate
Data sourced from clinicaltrials.gov
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