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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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Reduced workload for breast radiologists: results from a retrospective study using artificial intelligence in mammographic screening

Purpose Transpara has the potential to reduce radiologists’ workload in mammographic screening without reducing cancer detection. Studies with retrospective data

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AI-based strategy to reduce the recall rate and consensus meeting workload of double reading in breast cancer screening with digital mammography: a retrospective evaluation

Purpose To evaluate Transpara when implemented as autonomous artificial intelligence (AI) based triaging strategy in breast cancer screening as compared

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