A Study on Fight Against COVID-19 from Latest Technological Intervention

Area of Science:

• Computer Science
• Public Health
• Artificial Intelligence

Background:

• The COVID-19 pandemic has caused unprecedented global disruption.
• Technological interventions are crucial for managing the crisis and restoring normalcy.
• AI and Machine Learning present promising solutions for various pandemic-related challenges.

Purpose of the Study:

• To analyze and study the application of AI/Machine Learning in addressing the COVID-19 pandemic.
• To explore AI's role in quarantine, diagnosis, treatment, and prevention strategies.
• To highlight the potential of AI in mitigating the pandemic's impact.

Main Methods:

• Data analytics and Machine Learning for quarantine management of potentially affected individuals.
• Deep Learning for enhanced medical diagnosis, assisting radiologists in faster conclusions.
• Computer Vision and Deep Learning for monitoring and enforcing social distancing.

Main Results:

• AI/ML enables efficient identification and quarantine of individuals with potential exposure.
• Deep Learning significantly improves the speed and accuracy of COVID-19 diagnosis.
• AI-powered visual monitoring effectively supports social distancing compliance.

Conclusions:

• AI and Machine Learning are vital tools in managing the COVID-19 pandemic.
• These technologies offer effective solutions for quarantine, diagnosis, treatment, and prevention.
• Implementing AI/ML can accelerate the return to normal life and mitigate future health crises.