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在肺癌查中,在胸部CT上AI用于多结构偶然发现和死亡率预测

Anna M Marcinkiewicz1, Mikolaj Buchwald1, Aakash Shanbhag1

  • 1From the Departments of Medicine, Division of Artificial Intelligence in Medicine, Imaging, and Biomedical Sciences, Cedars-Sinai Medical Center, 6500 Wilshire Blvd, Los Angeles, CA 90048 (A.M.M., M.B., A.S., B.P.B., A.K., R.J.H.M., V.B., M.L., D.S.B., D.D., P.J.S.); Signal and Image Processing Institute, Ming Hsieh Department of Electrical and Computer Engineering, University of Southern California, Los Angeles, Calif (A.S.); and Department of Cardiac Sciences, University of Calgary, Calgary, Alberta, Canada (R.J.H.M.).

Radiology
|September 17, 2024
PubMed
概括

人工智能 (AI) 模型可以检测胸部CT扫描中的偶然发现,并预测全因死亡率 (ACM). 冠状动脉 (CAC) 是预测这些结果的最重要的特征.

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