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Artificial Intelligence (AI) in Breast Cancer Screening Programs in Cordoba (AITIC): Introduction and first interim results

Purpose To prospectively evaluate Transpara for safe workload reduction by applying double-reading only to high risk cases in screening with

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Workload reduction of digital breast tomosynthesis screening using artificial intelligence and synthetic mammography

Purpose A synthetic mammogram (SM), equivalent to digital mammography (DM), can be generated from digital breast tomosynthesis (DBT). To achieve

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A prospective study of breast cancer screening with AI as first reader for likely normal mammographies

Purpose The effect of employing artificial intelligence (AI) systems into breast cancer screening programs to safely reduce radiologist’s workload has

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Artificial intelligence (AI) allows safe workload reduction in breast cancer screening: A retrospective study

Purpose Retrospective simulation to test the potential of Transpara to safely reduce workload in the clinical workflow of a double-reading

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Possible strategies for use of artificial intelligence in screen-reading of mammograms, based on retrospective data from 122,969 screening examinations

Read the full publication here Purpose Artificial intelligence (AI) has shown promising results when used on retrospective data from mammographic

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Evaluation of the performance of artificial intelligence (AI) after one year of use in breast cancer screening practice: is the promise being delivered?

Purpose To evaluate the impact of using Transpara as support for human double reading in a breast cancer screening program

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