停工期
领域(数学)
计算机科学
人工智能
人工智能应用
分析
预测性维护
工程类
风险分析(工程)
数据科学
可靠性工程
数学
医学
操作系统
纯数学
作者
Lejla Gurbeta Pokvić,Amar Deumić,Adna Softić,Almir Badnjević
出处
期刊:Series in biomedical engineering
日期:2023-11-26
卷期号:: 115-138
标识
DOI:10.1007/978-3-031-43444-0_6
摘要
The application of artificial intelligence (AI) in the field of management, maintenance and performance prediction has been increasingly present in recent years. AI is used to automate various tasks and processes, improve decision-making and increase overall efficiency. This paper explores the various ways in which artificial intelligence is being applied to manage, maintain and predict performance in healthcare. Specifically, the paper discusses the use of AI-powered predictive maintenance systems, real-time performance monitoring, and data analytics to optimize operations and reduce downtime. Furthermore, the document highlights the potential benefits of artificial intelligence, including improved security, cost savings and improved user experience. Although there are some challenges associated with the implementation of artificial intelligence in these areas, the paper concludes that the advantages of using artificial intelligence for management, maintenance and performance prediction outweigh the potential disadvantages, and that artificial intelligence will continue to play an increasingly important role in these areas in the future.
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