Abstract

Coronavirus disease 2019 (COVID-19) has significantly impacted the entire world today and stalled off regular human activities in such an unprecedented way that it will have an unforgettable footprint on the history of mankind. Different countries have adopted numerous measures to build resilience against this life-threatening disease. However, the highly contagious nature of this pandemic has challenged the traditional healthcare and treatment practices. Thus, artificial intelligence (AI) and machine learning (ML) open up new mechanisms for effective healthcare during this pandemic. AI and ML can be useful for medicine development, designing efficient diagnosis strategies and producing predictions of the disease spread. These applications are highly dependent on real-time monitoring of the patients and effective coordination of the information, where the Internet of Things (IoT) plays a key role. IoT can also help with applications such as automated drug delivery, responding to patient queries, and tracking the causes of disease spread. This paper represents a comprehensive analysis of the potential AI, ML, and IoT technologies for defending against the COVID-19 pandemic. The existing and potential applications of AI, ML, and IoT, along with a detailed analysis of the enabling tools and techniques are outlined. A critical discussion on the risks and limitations of the aforementioned technologies are also included.

Highlights

  • Humanity is encountering a global crisis, perhaps the greatest crisis of this generation: The COVID-19 pandemic

  • We summarize the impact of the emerging artificial intelligence (AI) and machine learning (ML) technologies basically from two perspectives: (i) medical service-related applications and (ii) social science-related applications, as discussed in Sections 2 and 3, respectively

  • The medical sector has experienced that healthcare workers are highly vulnerable to COVID-19 disease, and in Section 2.6, we summarize some possible AI and ML-driven countermeasures to protect the valuable personnel who are contributing significantly to help fight against the pandemic

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Summary

Introduction

Humanity is encountering a global crisis, perhaps the greatest crisis of this generation: The COVID-19 pandemic. AI can help improve the COVID-19 identification novel composites that can possibly contribute to the medicine development, design the potential analyzing medical imaging, offer different methods to study disease progression utilizing appropriate of theforecasts vaccine, and develop identification procedures as wellstatistical as better realization the tools,objectives and produce on infection spread based on compound feedback,of including virus contamination and severity level. The medical sector has experienced that healthcare workers are highly vulnerable to COVID-19 disease, and in Section 2.6, we summarize some possible AI and ML-driven countermeasures to protect the valuable personnel who are contributing significantly to help fight against the pandemic.

Application of AI and ML for the Medical Sector
Medical Imaging for COVID-19 Patients
Patient Condition Monitoring Using Clinical Data
Virus Propagation Modeling and Prediction
Early Prediction or Detection of COVID-19 Syndromes
Protecting Healthcare Workers
AI-Enabled Self-Testing Framework
Social and Information Science-Related Applications Using AI and ML
Forecast the COVID-19 Statistics
Identify Influential Service Providers
Measuring Social Distancing
Data Sharing and Hosting
AI Governance
Raising Social Awareness
IoT Applications during COVID-19
Existing Contact Tracing Mechanisms
IoT for COVID-19 Diagnosis
IoT for Telemedicine Services during COVID-19
IoT-Enabled Wearable Technologies for Predicting COVID-19
Drone and UAV to Fight the Pandemic
Potential Risk of Intelligent Techniques
Potential Risks of AI and ML
Potential Risks of IoT
Enhancing the Privacy and Security of AI and IoT Techniques
Findings
Conclusions
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