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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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Interval Cancer Detection Using a Neural Network and Breast Density in Women with Negative Screening Mammograms

https://pubs.rsna.org/doi/10.1148/radiol.210832  Background: Inclusion of mammographic breast density in breast cancer risk models improves accuracy, but accuracy remains modest. Interval cancer

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Commercially available AI system for breast cancer detection shows promise for risk prediction, including among women with dense breasts

AIM AND OBJECTIVE AI algorithms have been developed to improve detection of breast cancer at the time of mammography. Whether

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The potential of AI to reduce interval cancer in a middle income country breast cancer screening program

AIM AND OBJECTIVE To evaluate the performance of an artificial intelligence (AI) system in detecting interval cancers among women with

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Measuring short and long-term breast cancer risk by combining mammographic texture models, an AI-based CAD system, and established risk factors

Lauritzen A D, Rodriguez-Ruiz A, von Euler-Chelpin M C, Lynge E, Vejborg I, Nielsen M, Karssemeijer N, Lillholm M ECR2021

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Using an AI system and breast density to quantify the short-term risk of interval cancer in screening: a large retrospective evaluation

Wanders A J T, Mees W, Janssen N, Dalmis M U, Rodriguez-Ruiz A, Sechopoulos I, van Gils C H, Karssemeijer

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