医学
乳腺癌
深度学习
肿瘤科
乳腺摄影术
内科学
梅德林
人工智能
风险评估
妇科
乳腺癌筛查
乳房成像
医学检查
癌症
医学物理学
机器学习
作者
Constance D. Lehman,Sarah Mercaldo,Shadi Azam,Rulla M. Tamimi,Andrew Carney,Sarah M. Friedewald,Leslie R. Lamb
出处
期刊:Radiology
[Radiological Society of North America]
日期:2026-06-01
卷期号:319 (3): e253023-e253023
被引量:1
标识
DOI:10.1148/radiol.253023
摘要
< .001). The findings were consistent across subgroups. Conclusion AI-based risk scores from screening mammograms evolved over time and diverged between women who did and did not develop breast cancer, supporting their potential as dynamic biomarkers for risk-adaptive screening and prevention strategies. © RSNA, 2026 See also the editorial by Mann and Wang in this issue.
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