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The “X-Men: Apocalypse” star, 43, wrote in an Instagram post Wednesday that she was diagnosed with breast cancer last year and would not have discovered it if her physician, Dr. Thaïs Aliabadi, had not calculated her breast cancer risk score. A breast cancer risk assessment tool uses a statistical model to estimate a woman’s risk of developing breast cancer over the next five years as well as over her lifetime, or up to about age 90, according to the National Cancer Institute. Two models are commonly used as breast cancer risk assessment tools: the Gail Model and the Tyrer-Cuzick Risk Assessment Calculator. An online version of the breast cancer risk assessment tool, using the Gail Model, is available for anyone to take at bcrisktool.cancer.gov. In fact, some women who do not develop breast cancer have higher risk estimates than some women who do develop breast cancer,” according to the National Cancer Institute’s website.
Persons: Olivia Munn’s, Thaïs Aliabadi, Aliabadi, Munn, Gail, Jennifer Plichta, , ” Plichta, they’re, , Plichta, I’ve, they’ve, Otis Brawley, ” Brawley, Larry Norton, Evelyn H, ” Norton, Robert Smith, Ruth Oratz, NYU Langone Health’s, Dr, Sanjay Gupta, ” Oratz Organizations: CNN, National Cancer Institute, National Cancer, Duke Cancer Institute, Johns Hopkins University, Lauder Breast Center, Memorial Sloan Kettering Cancer Center, American Cancer Society, US Preventive Services Task Force, NYU, Cancer Center, NYU Grossman School of Medicine, CNN Health Locations: United States, Durham , North Carolina
In recent years, AI software that helps radiologists detect problems or diagnose cancer using mammography has been moving into clinical use. This extra review has enormous potential to improve the detection of suspicious breast masses and lead to earlier diagnoses of breast cancer. With RadNet’s AI tool, “it’s as if all patients get the benefit of our very top performer.”But is the tech analysis worth the extra cost to patients? The health system has developed AI models and is testing the technology with mammograms but doesn’t yet offer it to patients, she said. In the late 1980s and early 1990s, “computer-assisted detection” software promised to improve breast cancer detection.
Persons: , , Etta Pisano, RadNet, Gregory Sorensen, Sorensen, generalists, ” Sorensen, Laura Heacock, NYU Langone Health’s, Heacock, it’s, Constance Lehman, ” Lehman, RadNet’s, Dr, Sanjay Gupta, Christoph Lee, mammography, Robert Smith, ” Smith, Smith, we’re Organizations: Health, American College of Radiology, NYU, Cancer, , National Cancer Institute, FDA, Medicare, Services, CMS, Radiology, Massachusetts General Hospital, Harvard Medical School, Imaging Research, Mass, Get CNN, CNN Health, Screening, Research, University of Washington School of Medicine, American Cancer Society, Kaiser Health, KFF Locations: Manhattan, Baltimore, RadNet, New York, New Jersey, mammograms, Boston, Massachusetts, United States, Europe, Sweden, U.S
Participants who were offered cash incentives for either pounds lost or for completing certain activities were more likely to lose weight compared with those who were simply offered tools, such as diet books, fitness trackers and access to a weight loss program, the study found. On average, participants in the goal-directed group earned $440.44, as compared to $303.56 in the outcome-based group. “Even if less weight is lost, adopting lifelong physical activity or better eating habits may be more important,” she said. Kushner, who was not involved with the new study, agreed that low-income people face extra challenges when it comes to weight loss. What’s not clear, however, is how the strategy of offering cash for weight loss could be implemented in a real-world setting, outside of academia.
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