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AI algorithm for subclinical breast cancer detection

10.03.24 | JAMA Network

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About The Study: In this retrospective cohort study of women undergoing screening mammography, mean absolute artificial intelligence (AI) scores were higher for breasts developing vs not developing cancer 4 to 6 years before their eventual detection. These findings suggest that commercial AI algorithms developed for breast cancer detection may identify women at high risk of a future breast cancer, offering a pathway for personalized screening approaches that can lead to earlier cancer diagnosis.

Corresponding Author: To contact the corresponding author, Solveig Hofvind, PhD, email sshh@kreftregisteret.no .

To access the embargoed study: Visit our For The Media website at this link https://media.jamanetwork.com/

(doi:10.1001/jamanetworkopen.2024.37402)

Editor’s Note: Please see the article for additional information, including other authors, author contributions and affiliations, conflict of interest and financial disclosures, and funding and support.

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How to Cite This Article

APA:
JAMA Network. (2024, October 3). AI algorithm for subclinical breast cancer detection. Brightsurf News. https://www.brightsurf.com/news/L59WYDR8/ai-algorithm-for-subclinical-breast-cancer-detection.html
MLA:
"AI algorithm for subclinical breast cancer detection." Brightsurf News, Oct. 3 2024, https://www.brightsurf.com/news/L59WYDR8/ai-algorithm-for-subclinical-breast-cancer-detection.html.