深度学习在推进心电图心律失常诊断在急诊医学中的潜力

Can Berk Inan1, Nurbanu Aksoy2, Havva Şahin Kavaklı3,4

  • 1Department of Emergency Medicine, Tokat Erbaa State Hospital, Tokat, United Kingdom.

概括

使用ResNet架构的深度学习模型准确地区分了腹腔性心力衰竭 (VT) 与在广泛复杂的心律失常 (WCT) 中具有异常导电的脑上心力衰竭 (SVT). 这种人工智能方法显示出改善紧急医疗诊断的希望.

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