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人工智能与神经危重症大数据科学

Artificial Intelligence and Big Data Science in Neurocritical Care.

机构信息

Department of Neurology, Virginia Commonwealth University, Richmond, 1101 East Marshall Street, Sanger-6-04, Richmond, VA 23298, USA.

Department of Neurology, Department of Biomedical Informatics, Columbia University, 8-Milstein-300 center, 177 Fort, Washington Avenue, New York, NY 10032, USA.

出版信息

Crit Care Clin. 2023 Jan;39(1):235-242. doi: 10.1016/j.ccc.2022.07.008. Epub 2022 Oct 9.

Abstract

In recent years, the volume of digitalized web-based information utilizing modern computer-based technology for data storage, processing, and analysis has grown rapidly. Humans can process a limited number of variables at any given time. Thus, the deluge of clinically useful information in the intensive care unit environment remains untapped. Innovations in machine learning technology with the development of deep neural networks and efficient, cost-effective data archival systems have provided the infrastructure to apply artificial intelligence on big data for determination of clinical events and outcomes. Here, we introduce a few computer-based technologies that have been tested across these domains.

摘要

近年来,利用现代计算机技术进行数据存储、处理和分析的数字化网络信息的数量迅速增长。人类在任何给定时间都只能处理有限数量的变量。因此,重症监护病房环境中大量有用的临床信息尚未得到充分利用。机器学习技术的创新,加上深度学习神经网络和高效、经济的数据存档系统的发展,为在大数据上应用人工智能以确定临床事件和结果提供了基础。在这里,我们介绍了一些已经在这些领域进行测试的基于计算机的技术。

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