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摘要: 随着人工智能技术、计算机硬件以及大数据的发展, 生命科学领域涌现出越来越多的人工智能设备及算法。大量数据分析结果显示, 人工智能设备能够对心脏骤停进行风险预测和早期识别, 还可指导心肺复苏实施及复苏后临床预后的预测和个性化诊疗。人工智能不仅可为科研提供新思路, 且在临床决策与医疗资源配置中扮演重要角色, 本文将围绕人工智能在心肺复苏中的应用情况进行阐述, 以期为临床提供参考。Abstract: With the development of artificial intelligence, computer hardware and big data, more and more artificial intelligent devices and algorithm are springing up. Based on the analysis of these data, great achievements has been made by artificial intelligent devices to predict the risk of the cardiac arrest, identify early period of cardiac arrest, instruct the process to improve the quality of cardiopulmonary resuscitation and resuscitation prediction. Meanwhile these tools not only provide new insight for clinical research, but play significant roles in clinical decision making and medical resources distribution. This paper focuses on the application of artificial intelligence in cardiopulmonary resuscitation, in order to provide reference for clinical practice.
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Key words:
- artificial intelligence /
- deep learn /
- neural network /
- cardiopulmonary resuscitation /
- prediction /
- prognosis
作者贡献:刘帅负责文献检索及论文撰写;朱华栋负责论文选题及审校。利益冲突:所有作者均声明不存在利益冲突 -
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