Application of artificial intelligence techniques in the intensive care unit

Prabhudutta Ray, Sachin Sharma, R. Raval
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引用次数: 0

Abstract

Intensive care unit deals with data that are dynamic in nature like real time measurement of health condition to laboratory test data that are continuously changes accordingly with time. Artificial intelligence (AI’s) potential ability to perform complex pattern analyses using large volumes of data. Generated pattern discovers the new symptoms of the disease in the Intensive care units (ICUs), helps the doctors to prescribe the new drug discovery which is helpful to intelligent use. Currently research work has been focused in the ICU making more efficient clinical workflow by generation of high-risk patterns from improved high volumes of data. Emerging area of AI in the ICU includes mortality prediction, uses of powerful sensors, new drug discovery, prediction of length of stay and legal role in uses of drugs for severity of disease. This review focuses latest application of AI drugs and other relevant issues for the ICU.
人工智能技术在重症监护病房中的应用
重症监护室处理的数据本质上是动态的,如健康状况的实时测量,以及随时间不断变化的实验室测试数据。人工智能(AI)使用大量数据执行复杂模式分析的潜在能力。生成的模式在重症监护病房(icu)发现疾病的新症状,帮助医生处方新药发现,有利于智能使用。目前的研究工作主要集中在ICU,通过从改进的大量数据中生成高风险模式来提高临床工作流程的效率。人工智能在ICU的新兴领域包括死亡率预测、强大传感器的使用、新药发现、住院时间预测以及根据疾病严重程度使用药物的法律作用。本文就人工智能药物在ICU的最新应用及相关问题进行综述。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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