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Robust artificial intelligence tools to predict future cancer

Massachusetts Institute of Technology To catch cancer earlier, we need to predict who is going to get it in the future. The complex nature of forecasting risk has been bolstered by artificial intelligence (AI) tools, but the adoption of AI in medicine has been limited by poor performance on new patient populations and neglect to racial minorities. Two years ago, a team of scientists from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) and Jameel Clinic (J-Clinic) demonstrated a deep learning system to predict cancer risk using just a patient’s mammogram. The model showed significant promise and even improved inclusivity: It was equally accurate for both white and Black women, which is especially important given that Black women are 43 percent more likely to die from breast cancer.

Toward robust mammography-based models for breast cancer risk

Science for just $15 USD. Don’t risk it Mammograms are a common but imperfect way of assessing breast cancer risk. Current U.S. breast cancer screening guidelines all use a component of cancer risk assessment to inform clinical course. Yala et al. developed a machine learning model called “Mirai” to predict breast cancer risk based on traditional mammograms. The authors’ risk model performed better than Tyrer-Cuzick and previous deep learning models at identifying both 5-year breast cancer risk and high-risk patients across multiple international cohorts. Mirai also performed similarly across race and ethnicity categories, suggesting the potential for improvement in patient care across the board.

Studies focus on breast cancer risk

Studies focus on breast cancer risk They provide new info on which genes women should be worried about By MARILYNN MARCHIONE, Associated Press Published: January 26, 2021, 6:02am Share: A woman gets a mammogram at the University of Michigan Cancer Center in Ann Arbor, Mich. (Kimberly P. Mitchell/Detroit Free Press) Two large studies give a much sharper picture of which inherited mutations raise the risk of breast cancer for women without a family history of the disease, and how common these flawed genes are in the general population. Doctors say the results published Wednesday by the New England Journal of Medicine can help women make better decisions about screening, preventive surgery or other steps.

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