Traditional vs. AI Driven Models: The Future of Breast Cancer Risk Assessment

See this Mini Moment's corresponding Mammologix Moment on our site for more information about upcoming new approaches to breast imaging here:
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Do you work in the breast imaging industry of healthcare? Have you ever wondered what standards your mammogram providers are held to? Are you curious how you can learn more about FDA regulations for these procedures?
Welcome to Mammologix Mini Moments, powered by DoctrinaEdge Publishing! These bite-size info videos will explain the important roles, responsibilities, and factors that contribute to the high-quality standards breast imaging facilities uphold to retain FDA certifications. Thank you for joining us-we’re excited to share our knowledge with you!
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Sources:
“AI Outperformed Standard Risk Model for Predicting Breast Cancer.” RSNA, www.rsna.org/news/2023/june/ai-for-predicting-breast-cancer
Arasu, V., Habel, L., Achacoso, N., Buist, D., Cord, J., Esserman, L., Hylton, N., Glymour, M., Kornak, J., Kushi, L., Lewis, D., Liu, V., Lydon, C., Miglioretti, D., Navarro, D., Pu, A., Shen, L., Sieh, W., Yoon, H. and Lee, C.Arasu, Vignesh A., et al. Radiology, vol. 307, no. 5, 1 June 2023, doi:10.1148/radiol.222733
Carnevale, Erica. “Revolutionizing Breast Cancer Risk Assessment: Building the Future with Volpara x Lunit.” Volpara Health, 18 Dec. 2024, www.volparahealth.com/news/revolutionizing-breast-cancer-risk-assessment-building-the-future-with-volpara-x-lunit/
Cleveland Clinic Medical Professionals. (2024, July 26). Breast Cancer Risk Assessment. Cleveland Clinic. my.clevelandcl...
“Combining AI Models Improves Breast Cancer Risk Assessment.” RSNA, www.rsna.org/news/2023/august/models-improve-breast-cancer-risk-assessment
Evans, D Gareth R, and Anthony Howell. “Breast cancer risk-assessment models.” Breast Cancer Research: BCR vol. 9,5 (2007): 213. doi:10.1186/bcr1750
McCarthy, Anne Marie, et al. "Performance of Breast Cancer Risk-Assessment Models in a Large Mammography Cohort." Journal of the National Cancer Institute vol. 112,5 (2020): 489-497. doi:10.1093/jnci/djz177