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BAC Paper Deidentified

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DataCite Commons2024-08-27 更新2024-09-03 收录
下载链接:
https://figshare.com/articles/dataset/BAC_Paper_Deidentified/26853079
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资源简介:
Using artificial intelligence to measure breast artery calcification, this study indicates the presence of breast artery calcification is significantly associated with Major Adverse Cardiac Events and may be beneficial in determining atherosclerotic cardiovascular disease risk. Artificial intelligence can be used to measure breast artery calcification in women undergoing routine mammography to identify women at increased risk of cardiovascular disease in need of targeted therapies and strategies

本研究借助人工智能(artificial intelligence)量化乳腺动脉钙化(breast artery calcification),结果表明乳腺动脉钙化的存在与主要不良心血管事件(Major Adverse Cardiac Events)显著相关,或可用于辅助评估动脉粥样硬化性心血管疾病(atherosclerotic cardiovascular disease)风险。 人工智能可用于对接受常规乳腺钼靶检查的女性开展乳腺动脉钙化量化检测,以识别出心血管疾病风险升高、需采取针对性治疗方案与策略的人群。
提供机构:
figshare
创建时间:
2024-08-27
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