A study on the AI-based online triage model for hospitals in sustainable smart city

Kong, Lingqiang

doi:10.1016/j.future.2021.06.023

Cited by 11 publications

(6 citation statements)

References 23 publications

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“…Smart city technologies are combining to maximize their effectiveness as countries respond to the challenges of public hospitals, resulting in significant enhancements and opportunities for smart healthcare delivery systems around the world [15]. In the future, public hospitals should use this outbreak as a new starting point for expanding access to telemedicine, medical drones, and medical robots.…”

Section: Discussionmentioning

confidence: 99%

“…During the early period of pandemic, robotics served as front-line soldiers. For one thing, they interacted virtually with doctors and used AI technology to accurately consult patients online with the help of cloud-based systems [15], thereby effectively enhancing public hospitals' ability to save lives while isolating health care workers from direct contact with the virus. Public hospitals, for another, are replacing people with drones and robots to provide essential care services and maintain lockdowns, such as delivering food, medicine, and medical equipment to the hospital or always taking the body temperature for all patients.…”

Section: The Use Of Drones and Robotics For Medical Servicementioning

confidence: 99%

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The application and development of smart city technologies in public health during the COVID-19 pandemic

Wang

2023

Second International Conference on Biological Engineering and Medical Science (ICBioMed 2022)

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Over the past few years, during the Cov-19 pandemic, a great deal of smart city technologies have been used by the public health sector to fight against the common enemy of humanity. This paper studies the challenges faced by public hospitals and public monitoring. Meanwhile, it also introduces the application and development of smart city technologies, such as AI and IoT, in the field of public health during the pandemic. From a practical standpoint, the author believes that this pandemic has provided numerous opportunities for testing smart city technologies in public health. In the future, public health must be integrated with smart city technologies in a wider range to improve cities' ability to deal with major outbreaks and provide public health care.

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Section: Discussionmentioning

confidence: 99%

Section: The Use Of Drones and Robotics For Medical Servicementioning

confidence: 99%

The application and development of smart city technologies in public health during the COVID-19 pandemic

Wang

2023

Second International Conference on Biological Engineering and Medical Science (ICBioMed 2022)

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“…Holbl et al [309] have studied the applications of blockchain in healthcare, and marked it as an enabler for decentralized healthcare management. Kong proposed an AI-based model for online triage in sustainable smart city hospitals [310]. IoT-enabled medical equipment such as operation theatres, diagnostic tools, and smart equipment should assist in managing health.…”

Section: Managing Public Health and Educationmentioning

confidence: 99%

Analyzing the Adoption Challenges of the Internet of Things (IoT) and Artificial Intelligence (AI) for Smart Cities in China

Wang

Zhao²,

Gangadhari

et al. 2021

Sustainability

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Smart cities play a vital role in the growth of a nation. In recent years, several countries have made huge investments in developing smart cities to offer sustainable living. However, there are some challenges to overcome in smart city development, such as traffic and transportation management, energy and water distribution and management, air quality and waste management monitoring, etc. The capabilities of the Internet of Things (IoT) and artificial intelligence (AI) can help to achieve some goals of smart cities, and there are proven examples from some cities like Singapore, Copenhagen, etc. However, the adoption of AI and the IoT in developing countries has some challenges. The analysis of challenges hindering the adoption of AI and the IoT are very limited. This study aims to fill this research gap by analyzing the causal relationships among the challenges in smart city development, and contains several parts that conclude the previous scholars’ work, as well as independent research and investigation, such as data collection and analysis based on DEMATEL. In this paper, we have reviewed the literature to extract key challenges for the adoption of AI and the IoT. These helped us to proceed with the investigation and analyze the adoption status. Therefore, using the PRISMA method, 10 challenges were identified from the literature review. Subsequently, determination of the causal inter-relationships among the key challenges based on expert opinions using DEMATEL is performed. This study explored the driving and dependent power of the challenges, and causal relationships between the barriers were established. The results of the study indicated that “lack of infrastructure (C1)”, ”insufficient funds (C2)”, “cybersecurity risks (C3)”, and “lack of trust in AI, IoT” are the causal factors that are slowing down the adoption of AI and IoT in smart city development. The inter-relationships between the various challenges are presented using a network relationship map, cause–effect diagram. The study’s findings can help regulatory bodies, policymakers, and researchers to make better decisions to overcome the challenges for developing sustainable smart cities.

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“…The smart city utilizes various information and communication technologies -Cloud and Fog Computing [9], Machine Learning (ML) [10], Internet of Things (IoT) [11], Blockchain [12], Artificial Intelligence (AI) [13] etc., to build an intelligent ecosystem [14]. Out of many, one promising and prognosticating approach is Distributed Artificial Intelligence (DAI) whose wide spectrum for multiple applications of Smart Cities is explored in detail.…”

Section: Introductionmentioning

confidence: 99%

Next Generation of Multi-Agent Driven Smart City Applications and Research Paradigms

Arora,

Jain,

Yadav

et al. 2023

IEEE Open J. Commun. Soc.

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Smart City has seen a growing interest among government, researchers, and industrialists. Smart cities use digital technologies to enhance the quality of life for residents while promoting sustainability and efficient resource management. By integrating various technologies such as ICT, AI, and IoT, smart cities can improve the delivery of public services, optimize transportation systems, reduce energy consumption, and enhance public safety, among other benefits. The goal of smart cities is to create a more livable, efficient, and sustainable urban environment for residents, businesses, and visitors. The smart city focuses on automating different disciplines, including smart environment, smart home, smart economy, smart mobility, and, smart governance. Due to that Multi-Agent driven Smart city has received tremendous attention from the research community to get an intelligent solution to complex problems from different disciplines by subdividing responsibilities into multiple agents and empowering agents through AI. In this regard, it is vital to explore the usage of Multi-Agent in different critical application areas of smart cities to achieve an end-to-end intelligent urban area. In this paper, a detailed description of the Multi-Agent process for Smart city application areas is provided along with resources and future research directions. Four different application areas-Smart Home, Smart Governance, Smart Environment, and Smart Mobility are discussed in detail.

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A study on the AI-based online triage model for hospitals in sustainable smart city

Cited by 11 publications

References 23 publications

The application and development of smart city technologies in public health during the COVID-19 pandemic

The application and development of smart city technologies in public health during the COVID-19 pandemic

Analyzing the Adoption Challenges of the Internet of Things (IoT) and Artificial Intelligence (AI) for Smart Cities in China

Next Generation of Multi-Agent Driven Smart City Applications and Research Paradigms

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