Review on the COVID-19 pandemic prevention and control system based on AI

Yi, Junfei; Zhang, Hui; Mao, Jianxu; Chen, Yurong; Zhong, Huicai; Wang, Yaonan

doi:10.1016/j.engappai.2022.105184

Cited by 27 publications

(7 citation statements)

References 89 publications

(103 reference statements)

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“…Blockchain is used and deployed in various elds to provide a secure environment for data processing. Recently, it can also be used with natural language processing because blockchain stores and share the data with other users through a distributed ledger [79]. Blockchain is used to store data as a smart contract in natural language processing to improve storage mechanism for trustworthiness and prevent SQL injection attack which are important for secure computation.…”

Section: Data Storage and Security In Backendmentioning

confidence: 99%

Comprehensive Framework for Implementing Blockchain-enabled Federated Learning and Full Homomorphic Encryption for Chatbot security System

Jalali,

Chen

2024

Preprint

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Chatbot is an artificial intelligence application that can provide a conversational environment between human and machine. Most organizations and industries are willing to lay out their services through chatbot because it can provide 24/7 customer support. Meanwhile it raises security and privacy challenges like access control, data leakage during transmission, SQL injection attack, language model attack which make the users concerned about their data, performance and accuracy. Therefore this research paper proposed a comprehensive framework integrated blockchain, federated learning and fully homomorphic encryption algorithm with face recognition to solve above mentioned chatbot’s challenges. The experimental result shows that distributed system improves chatbot accuracy (90%) and more transaction in less time with more clients do not affect the performance. In contrast, more iteration and clients will decrease the accuracy, performance and transactions in centralized system. In addition, fully homomorphic encryption improve and speed up data encryption process. It encrypted more data (1792 MB) in a small amount of 1240 time/sec and conversation/transactions can be transferred via a secure network to ensure the confidentiality, integrity and authenticity of users’ data. The implementation of such comprehensive framework in real-life can improve chatbot security that is actively work as a customer agent in organization.

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Section: Data Storage and Security In Backendmentioning

confidence: 99%

Comprehensive Framework for Implementing Blockchain-enabled Federated Learning and Full Homomorphic Encryption for Chatbot security System

Jalali,

Chen

2024

Preprint

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“…We also provide recommendations for device improvement and future development. (5) This research significantly contributes to the fields of epidemic prevention design and sensing devices and serves as a valuable reference and application for subsequent research endeavors. (1) We initially conducted disinfection efficacy tests solely on bacteria, and therefore, we cannot guarantee that the device will have the same effectiveness against all microorganisms.…”

Section: Research Focus and Limitationsmentioning

confidence: 99%

“…Using artificial intelligence to detect abnormal body temperature in real time and send signal alerts can be part of a more widespread epidemic prevention strategy. (5) Automatic sensing doors that can be opened and closed without contact also help prevent contact infection among crowds, but they are common only in specific places. Therefore, in this study, we aim to design a plug-and-play sensing device for door handles that can spray alcohol disinfectant after waiting for the user to leave before spraying.…”

Section: Introduction 11 Research Background and Motivationmentioning

confidence: 99%

Automatic Delayed Alcohol Sprayer for Door-handle Disinfection

Chen

2024

Sensors and Materials

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In this study, a device that can automatically disinfect door handles and prevent contact infection was designed. This device will spray alcohol onto door handles -6 s after the user leaves, as detected by infrared sensing. We used observation and design thinking methods to carry out needs analysis, prototype design, experimental testing, and effect evaluation. The experimental results showed that this delayed spraying method can effectively reduce the amount of bacteria and dirt on door handles and also increase the user's sense of hygiene and safety. Moreover, this method can contribute to epidemic prevention without spraying alcohol directly onto the human body.

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“…Xu et al from Peking University Third Hospital have developed a standardized, non-invasive, and user-friendly screening model referred as PCOSt (Figure 3) based on real-world data from their reproductive center. 62 This model is straightforward and easy to implement, offering a simpler yet more accessible alternative to the widely accepted Rotterdam standard, 62,63 which empowers PCOSt an valuable asset in expanding the reach of early PCOS screening to minimize missed diagnoses. Simultaneously, it provides a robust tool for managing PCOS-related patient care.…”

Section: Ai In Disease Diagnosis and Drug Treatmentmentioning

confidence: 99%

Artificial intelligence for medicine: Progress, challenges, and perspectives

Huang,

Xu,

Wang

et al. 2023

TIME

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<p>Artificial Intelligence (AI) has transformed how we live and how we think, and it will change how we practice medicine. With multimodal big data, we can develop large medical models that enables what used to unimaginable, such as early cancer detection several years in advance and effective control of virus outbreaks without imposing social burdens. The future is promising, and we are witnessing the advancement. That said, there are challenges that cannot be overlooked. For example, data generated is often isolated and difficult to integrate from both perspectives of data ownership and fusion algorithms. Additionally, existing AI models are often treated as black boxes, resulting in vague interpretation of the results. Patients also exhibit a lack of trust to AI applications, and there are insufficient regulations to protect patients�� privacy and rights. However, with the advancement of AI technologies, such as more sophisticated multimodal algorithms and federated learning, we may overcome the barriers posed by data silos. Deeper understanding of human brain and network structures can also help to unravel the mysteries of neural networks and construct more transparent yet more powerful AI models. It has become something of a trend that an increasing number of clinicians and patients will implement AI in their life and medical practice, which in turn can generate more data and improve the performance of models and networks. Last but not the least, it is crucial to monitor the practice of AI in medicine and ensure its equity, security, and responsibility.</p>

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Review on the COVID-19 pandemic prevention and control system based on AI

Cited by 27 publications

References 89 publications

Comprehensive Framework for Implementing Blockchain-enabled Federated Learning and Full Homomorphic Encryption for Chatbot security System

Comprehensive Framework for Implementing Blockchain-enabled Federated Learning and Full Homomorphic Encryption for Chatbot security System

Automatic Delayed Alcohol Sprayer for Door-handle Disinfection

Artificial intelligence for medicine: Progress, challenges, and perspectives

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