利用先进的图形神经网络来加强麻醉后状态的分类,以帮助手术程序

Dongge Niu1, Renxin Ru2, Jiasheng Zhang3,4

  • 1Department of Anesthesiology, Peking University International Hospital, Beijing, China.

PloS one
|April 25, 2025
PubMed
概括

这项研究引入了一个图形神经网络 (GNN),以准确分类麻醉状态,提高患者的安全性. 该GNN模型实现了92.8%的准确性,超过了麻醉深度监测的其他方法.

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