Machine intelligence and medical cyber-physical system architectures for smart healthcare: Taxonomy, challenges, opportunities, and possible solutions

被引:39
作者
Shaikh, Tawseef Ayoub [1 ]
Rasool, Tabasum [2 ]
Verma, Prabal [3 ]
机构
[1] Natl Inst Technol NIT, Dept Comp Sci & Engn, Srinagar 190006, Jammu & Kashmir, India
[2] Indian Inst Sci, Interdisciplinary Ctr Water Res ICWaR, Bengaluru, India
[3] Natl Inst Technol NIT, Dept Informat Technol, Srinagar 190006, Jammu & Kashmir, India
基金
美国国家科学基金会;
关键词
Medical cyber-physical systems; Internet of things; Big data; CPS Architectures; Digital twin; Dew computing; Security and privacy; DATA ANALYTICS; HOME TELECARE; DATA FUSION; SECURITY; MODEL; PRIVACY; COMMUNICATION; DIAGNOSIS; FRAMEWORK; INTERNET;
D O I
10.1016/j.artmed.2023.102692
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Hospitals use medical cyber-physical systems (MCPS) more often to give patients quality continuous care. MCPS isa life-critical, context-aware, networked system of medical equipment. It has been challenging to achieve high assurance in system software, interoperability, context-aware intelligence, autonomy, security and privacy, and device certifiability due to the necessity to create complicated MCPS that are safe and efficient. The MCPS system is shown in the paper as a newly developed application case study of artificial intelligence in healthcare. Applications for various CPS-based healthcare systems are discussed, such as telehealthcare systems for managing chronic diseases (cardiovascular diseases, epilepsy, hearing loss, and respiratory diseases), supporting medication intake management, and tele-homecare systems. The goal of this study is to provide a thorough overview of the essential components of the MCPS from several angles, including design, methodology, and important enabling technologies, including sensor networks, the Internet of Things (IoT), cloud computing, and multi-agent systems. Additionally, some significant applications are investigated, such as smart cities, which are regarded as one of the key applications that will offer new services for industrial systems, transportation networks, energy distribution, monitoring of environmental changes, business and commerce applications, emergency response, and other social and recreational activities.The four levels of an MCPS's general architecture-data collecting, data aggregation, cloud processing, and action-are shown in this study. Different encryption techniques must be employed to ensure data privacy inside each layer due to the variations in hardware and communication capabilities of each layer. We compare established and new encryption techniques based on how well they support safe data exchange, secure computing, and secure storage. Our thorough experimental study of each method reveals that, although enabling innovative new features like secure sharing and safe computing, developing encryption approaches significantly increases computational and storage overhead. To increase the usability of newly developed encryption schemes in an MCPS and to provide a comprehensive list of tools and databases to assist other researchers, we provide a list of opportunities and challenges for incorporating machine intelligencebased MCPS in healthcare applications in our paper's conclusion.
引用
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页数:36
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