A study by the Harvey L. Neiman Health Policy Institute demonstrates that mobile mammography is generally used by women otherwise unlikely to be screened, and thus is complementary to facility-based mammography rather than ...
Dec 13, 2024
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The number of women with late-stage, invasive breast cancer at the time of diagnosis increased significantly among U.S. women across all ages and ethnicities between 2004 and 2021, according to a study published today in ...
Dec 10, 2024
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More than a third of women across 10 health care practices chose to enroll in a self-pay, artificial intelligence (AI)-enhanced breast cancer screening program, and the women who enrolled were 21% more likely to have cancer ...
Dec 5, 2024
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Breast cancer rates rose by 1% a year from 2012–2021 for all American women combined, but steeper increases were seen for women under 50 and Asian American and Pacific Islander women, according to the American Cancer Society, ...
Nov 3, 2024
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When you order a pizza, an online tracker can provide real-time data that lets you know when your pizza enters the oven, is boxed and is then on the way to your house.
Oct 22, 2024
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Artificial intelligence (AI) scores may be able to estimate the risk for future breast cancer and lead to earlier diagnosis, according to a study published online Oct. 3 in JAMA Network Open.
Oct 8, 2024
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Early detection of breast cancer through mammography screening continues to save lives. However, abnormal findings on mammograms can lead to women being recalled for additional imaging and biopsies, many of which turn out ...
Sep 2, 2024
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Women diagnosed with breast cancer who had regular screening mammograms every year were less likely to have late-stage cancer and had higher overall survival than those who received screening every other year or less often, ...
Aug 26, 2024
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Using artificial intelligence (AI), breast radiologists in Denmark have improved breast cancer screening performance and reduced the rate of false-positive findings. Results of the study were published in Radiology.
Jun 4, 2024
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In a study of nearly 5,000 screening mammograms interpreted by an FDA-approved AI algorithm, patient characteristics such as race and age influenced false positive results. The study's results were published in Radiology.
May 21, 2024
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