AI in Covid: Here are the 10 ways how AI will once again aid scientists fight against the new covid wave

Before the world was even aware of the threat posed by the coronavirus, artificial intelligence (AI) systems detected the outbreak of an unknown type of pneumonia in China. Applications of artificial intelligence to fight against COVID are huge, it helped scientists to fight against the disease. COVID is evolving rapidly by changing its variants and spreading the disease instantly, thus AI will once again aid scientists in fighting against new covid wave with its new technologies and tools that are previously employed as well.

To manage every step of a crisis and its aftermath, including detection, prevention, reaction, and recovery, as well as to speed up research, AI tools and technologies can be used to support efforts made by policymakers, the medical community, and society at large.

Here are the 

10 ways how AI will once again aid scientists to fight against new covid wave:

1. Old and new medications or treatments that may treat COVID-19 can be predicted with the aid of AI and deep learning algorithms. Several institutes are utilizing AI to find therapies and create vaccination prototypes.
2. AI techniques can be used to track wider economic effects and track pathogen transmission chains. Numerous instances have shown that AI technologies can infer epidemiological data more quickly than traditional reporting of health data.
3. Developing drugs and vaccines is just one example of the pandemic-driven solutions found in the article 'Accelerating Research: Open Data Initiatives and Distributed Computing.'
4. Early warnings from AI-powered early warning systems can supplement syndromic monitoring and other healthcare networks and data flows by detecting epidemiological patterns by mining mainstream media, web content, and other information channels in different languages.
5. To prevent infection and comprehend the course of the condition, rapid diagnosis is essential. AI could assist in making a quick diagnosis of COVID-19 cases when applied to photos and symptom data. To ensure scalability and accuracy, care must be taken to collect data that is representative of the entire population.
6. Locating, identifying, and getting in touch with high-risk, vulnerable people. To identify Medicaid patients most at risk from COVID-19 based on the risk of respiratory problems and social isolation, Medical Home Network, a non-profit organization with headquarters in Chicago, has deployed an AI platform.
7. Automation in service: In hospitals, semi-autonomous robots and drones are being used to meet urgent demands like delivering food and medications, cleaning and sterilizing, assisting doctors and nurses, and making equipment deliveries.
8. For example, the American Red Cross has used virtual assistants and chatbots to serve healthcare organizations in the United States, Canada, France, Finland, Italy, and Canada. These instruments aid in symptom-based triage of patients.
9. Social networks and search engines are utilizing tailored AI information and tools and relying on algorithms to discover and remove problematic material on their platforms to combat misinformation — the COVID-19 "infodemic"
10. Epidemiology dataset accessibility: Bioinformatics and molecular modeling is being provided, e.g., through the COVID-19 Open Research Dataset Challenge by the US government and partner organizations that makes available over 29 000 academic research articles for coronavirus and COVID-19.

Conclusion: This artificial intelligence (AI) and AI technologies are used by scientists to combat COVID, and these tools will once more help scientists combat new COVID wave to help monitor the economic crisis and the recovery – for example, via satellite, social networking, and other data (e.g., Google's Community Mobility Reports) – and can learn from the crisis and build early warning for future outbreaks.