机器学习模型与计算机断层扫描 放射学和临床生物化学特征 预测患有初级阿尔多斯特罗尼斯症患者的亚型

Po-Ting Chen1, Pei-Yan Li2, Kao-Lang Liu3

  • 1Institute of Biomedical Engineering, College of Medicine and College of Engineering, National Taiwan University, Taipei, Taiwan (P.T.C, P.Y.L., C.M.C.); Department of Medical Imaging, National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei, Taiwan (P.T.C., K.L.L., C.C.C.); Department of Medical Imaging, National Taiwan University Cancer Center and National Taiwan University College of Medicine, Taipei, Taiwan (P.T.C., K.L.L.); Department of Medical Imaging, National Taiwan University Hospital Hsinchu Branch, Hsinchu, Taiwan (P.T.C.).

Academic radiology
|December 2, 2023
PubMed
概括

这项研究开发了一种机器学习模型,使用CT放射学和患者数据来预测原发性阿尔多斯特隆症 (PA) 亚型. 该模型准确地区分PA亚型和横向化,优于传统的成像方法.

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