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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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Implementing AI to predict interval cancers in a national screening program

Purpose To evaluate the performance of two different versions of an artificial intelligence (AI) system for predicting the risk of

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An AI-based Mammography Screening Protocol: Outcome and Radiologists Workload

Link to the article Background: Developments in artificial intelligence (AI) systems to assist radiologists in reading screening mammograms could improve

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Artificial Intelligence Evaluation of 122 969 Mammography Examinations from a Population-based Screening Program

Read the full publication Background: Artificial intelligence (AI) has shown promising results for cancer detection in mammographic screening. However, evidence

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