使

Hirotaka Ieki1,2,3, Yuki Sahashi4, Miloš Vukadinovic3,5

  • 1Department of Medicine, Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA.

概括

EchoNet-AS整合了心声回声图的结构和功能数据,以准确评估大动脉狭窄 (AS) 的严重程度. 这种人工智能工具在各种数据集中表现出强的表现,为临床决策支持系统提供了潜力.

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