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Mammography AI model performs well in screening populations

AuntMinnie

Previous research has shown the ability of image-based AI models to discriminate between populations when it comes to assessing breast cancer risk based on family history and lifestyle factors. The model was tested on four European mammographic screening populations in three countries screened between 2009 and 2020 for women ages 45 to 69.

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Biomarker model predicts breast cancer risk without racial bias

AuntMinnie

However, mammograms contain highly predictive biomarkers of future cancer risk. Lamb and colleagues sought to assess the performance of an image-based deep learning risk assessment model for predicting both future invasive breast cancer and ductal carcinoma in situ (DCIS) across multiple races. Image and caption courtesy of RSNA.

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Unlock the advantage of time across the breast health continuum of care

The British Institute of Radiology

If we can embrace smarter technology, this will help to provide better workflow efficiency and clinical confidence across the patient pathway, unlocking that much needed time to care for breast cancer patients. Tim Simpson Time is everything when it comes to breast cancer care. It is evident that AI is sure to revolutionise healthcare.