构建基于X射线图像和临床数据的深度学习放射学模型,用于预测和区分急性和慢性骨质疏松性脊椎骨折:一项多中心研究

Jun Zhang1, Liang Xia2, Jun Tang3

  • 1Department of Radiology, Shanghai Tenth People's Hospital, Clinical Medical College of Nanjing Medical University, 301 Middle Yanchang Road, Shanghai, 200072, PR China (J.Z., G.T.); Department of Radiology, Sir RunRun Hospital affiliated to Nanjing Medical University, 109 Longmian Road, Nanjing, Jiangsu, 211002, PR China (J.Z., L.X., W.Z., J.L., Z.L.).

Academic radiology
|November 28, 2023
PubMed
概括

一种深度学习放射学模型有效地使用X射线图像来区分急性和慢性骨质疏松性脊椎骨折 (OVF). 将这个模型与临床数据结合在名图中,进一步提高了OVFs的诊断性能.

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