X线

Hao-Chun Liao1, Chin Lin2,3, Chih-Hung Wang4,5

  • 1Department of Internal Medicine, Tri-Service General Hospital, National Defense Medical Center, Taipei, Republic of China.

Digital health
|August 2, 2023
PubMed
概括

深度学习模型可以从胸部X射线 (CXR) 预测患者的年龄,识别患心血管疾病 (CVD) 风险较高的个体. 这种基于CXR的年龄评估为风险分层提供了一个新的工具.

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