Institutes for Systems Genetics, Frontiers Science Center for Disease-Related Molecular Network, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Department of Computer Science and Information Technology, University of A Coruña, A Coruña, Spain.
Adv Exp Med Biol. 2022;1368:189-214. doi: 10.1007/978-981-16-8969-7_9.
With the development of urbanization, artificial intelligence, communication technology, and the Internet of Things, cities have evolved a new ecology from traditional city structures, that is, smart city. Combining 5G and big data, the applications of smart cities have been extended to every aspect of residents' lives. Based on the popularization of communication equipment and sensors, the great improvement in data transmission and processing technology, the production efficiency in medical field, industrial field, and security field has been improved. This chapter introduces the current research related to smart cities, including its architecture, technologies, and equipment involved. Then it discussed the challenges and opportunities of explainable artificial intelligence (XAI), which is the next important development direction of AI, especially in the medical field, where patients and medical personnel have non-negligible needs for the interpretability of AI models. Then, taking COVID-19 as an example, it discussed how smart cities play a role during virus infection and introduced the specific applications designed so far. Finally, it discussed the shortcomings of the current situation and the aspects that can be improved in the future.
随着城市化、人工智能、通信技术和物联网的发展,城市已经从传统的城市结构中演变出一种新的生态,即智慧城市。结合 5G 和大数据,智慧城市的应用已经扩展到居民生活的各个方面。基于通信设备和传感器的普及,数据传输和处理技术的巨大进步,医疗、工业和安全领域的生产效率得到了提高。本章介绍了与智慧城市相关的当前研究,包括其架构、所涉及的技术和设备。然后讨论了可解释人工智能(XAI)的挑战和机遇,这是人工智能的下一个重要发展方向,特别是在医疗领域,患者和医务人员对人工智能模型的可解释性有不可忽视的需求。然后,以 COVID-19 为例,讨论了智慧城市在病毒感染期间如何发挥作用,并介绍了迄今为止设计的具体应用。最后,讨论了当前情况的不足之处以及未来可以改进的方面。