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Transpara-supported screen reading versus standard double reading in the Mammography Screening with Artificial Intelligence trial (MASAI)

Link to full study Purpose Retrospective studies have shown promising results using artificial intelligence (AI) to improve mammography screening accuracy

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Artificial Intelligence (AI) improves breast cancer screening performance for both digital mammography and digital breast tomosynthesis

Purpose To evaluate the added value of AI for digital mammography (DM) and digital breast tomosynthesis (DBT) reading as support

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Artifcial intelligence in BreastScreen Norway: a retrospective analysis of a cancer‑enriched sample including 1254 breast cancer cases

Read the full publication here Purpose To compare results of selected performance measures in mammographic screening for Transpara versus independent

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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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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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