- AI
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- Mammography
Minorities often distrust breast cancer screening
Distrust of healthcare providers and may contribute to the low levels of compliance for breast cancer screening among minorities.
Distrust of healthcare providers and may contribute to the low levels of compliance for breast cancer screening among minorities.
A study by Michigan State University of 341 women, including African American, Arab American, and Hispanic women, found that more than two-thirds of those subjects believe that healthcare organizations sometimes mislead or even purposely deceive patients. The study was presented at the 2009 American Association for Cancer Research Conference on the Science of Cancer Health Disparities in Carefree, AZ.
Another study, in the Journal of Women’s Health, assessed the attitudes toward screening of 150 lesbian/bisexual and 400 heterosexual women. It revealed negative beliefs about mammography, lower levels of provider trust, and less perceived risk of breast cancer among lesbian/bisexual women (2009;18[2]:177-185).
Could a Deep Learning Model for Mammography Improve Prediction of DCIS and Invasive Breast Cancer?
April 15th 2024Artificial intelligence (AI) assessment of mammography images may significantly enhance the prediction of invasive breast cancer and ductal carcinoma in situ (DCIS) in women with breast cancer, according to new research presented at the Society for Breast Imaging (SBI) conference.
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April 9th 2024Emerging research suggests that an artificial intelligence (AI) score of 75 or greater for mammography abnormalities more than doubles the likelihood of invasive upgrade of ductal carcinoma in situ (DCIS) diagnosed with percutaneous biopsy.
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