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可解释的人工智能驱动的恶性心室节律失常和急性心肌梗塞死亡风险评估

Dabei Cai1, Tingting Sun2, Jun Wei3

  • 1Department of Cardiology, Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi People's Hospital, Wuxi Medical Center, Nanjing Medical University, Wuxi, Jiangsu, China; Department of Cardiology, Third Affiliated Hospital of Nanjing Medical University, Changzhou, Jiangsu, China.

The Canadian journal of cardiology
|September 19, 2025
PubMed
概括

人工智能 (AI) 模型可以预测恶性心室节律失常 (MVA) 和心脏病发作后的死亡. 这种可解释的AI框架为个性化风险评估和改善患者结果提供了经过验证的工具.

关键词:
剧烈的心肌梗塞急性心肌梗塞人工智能的人工智能是人工智能.恶性心室节律失常 恶性心室节律失常

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