相关实验视频

Updated: Jun 25, 2025

Real-Time Cardiac Mapping with a Noninvasive Imageless Electrocardiographic Imaging System
10:17

Real-Time Cardiac Mapping with a Noninvasive Imageless Electrocardiographic Imaging System

Published on: April 11, 2025

485

人工智能用于使用门诊心电图的腹腔失常能力

Joseph Barker1,2,3,4,5, Xin Li1,6, Ahmed Kotb1,2

  • 1Department of Cardiovascular Sciences, University of Leicester, Glenfield Hospital, Groby Road, Leicester LE3 9QP, UK.

European heart journal. Digital health
|May 22, 2024
PubMed
概括

一个人工智能模型,VA-ResNet-50,可以从心电图 (ECG) 高度准确地预测腹腔失常 (VA) 风险. 这种人工智能工具有望改善患者的治疗结果,并指导植入式心脏转移器除器的使用.

关键词:
人工智能的人工智能是人工智能.深度学习是一种深度学习.可植入的心脏转换器除器神经网络的神经网络的神经网络风险分层是指风险的分层.室腔心律不整 室腔心律不整

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