ENVISION -用人工智能改善COVID-19患者的重症监护

A. Värri, Antti Kallonen, H. Nieminen, M. van Gils
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引用次数: 0

摘要

Envision项目旨在开发基于人工智能的工具,以支持重症监护病房中COVID-19危重患者的治疗。12家欧洲医院参与了患者数据的收集,以开发和验证人工智能工具。十个潜在的用例已经被确定为开发目标。数据分析和专家访谈的结果被应用于定义临床最相关的参数和功能用例,用于为该患者组的重症监护病房的临床医生提供决策支持。由此产生的基于人工智能的工具也可能有助于管理下一个类似的流行病。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
ENVISION – Improve intensive care of COVID-19 patients with artificial intelligence
The Envision project aims at developing artificial intelligence-based tools for supporting the treatment of critically ill COVID-19 patients in the intensive care unit. Twelve European hospitals participate in the collection of patient data for the development and validation of the artificial intelligence tools. Ten potential use cases have been identified as development targets. Data analysis and results from expert interviews are applied to define the clinically most relevant parameters and functional use cases to be used in providing decision support for the clinicians in the intensive care units for this patient group. The resulting artificial intelligence-based tool may be beneficial in the management of the next similar epidemics, as well.
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