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

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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. https://my.clevelandclinic.org/health/diagnostics/breast-cancer-risk-assessment

“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