Artificial Intelligence (AI) and machine learning applications have helped to fight the COVID-19 crisis at different stages. These stages mainly include detection, prevention, response, and recovery. AI tools and techniques can help governments and policymakers to comprehend the COVID-19 virus and take rapid steps in the acceleration of research regarding preventive treatments and necessary vaccines. Through artificial intelligence text and data mining tools virus history, diagnosis, and management measures can be revealed.

Using AI and Machine Learning to combat COVID-19

  • Predict old and new drugs – Deep learning models help to support the prediction of necessary treatments that may treat patients with COVID-19. Many health institutes are using artificial intelligence to identify the treatment process and develop prototype vaccines. Organizations are using deep learning to predict the virus that causes COVID-19.
  • Accessibility to large databases – Databases related to bioinformatics and molecular modeling are being provided. For example, the US government through the COVID-19 Open Research Database Challenge makes available over 29,000 academic research papers and articles related to the COVID-19 virus.
  • Detection of the virus – AI helps in giving early warning signals using detecting anomalies and digital smoke signals.
  • Rapid response to the virus – Artificial intelligence tools such as drones for materials’ transport and robots for high exposure tasks at hospital facilities facilitates effective delivery and care. Service automation techniques such as deploying triaging virtual assistants and chatbots have also help to accelerate response to the COVID-19 virus.
  • Identification of virus transmission chains – AI tools helps to identify virus transmission chain. Institutions such as Johns Hopkins University have made available interactive dashboards that help to track the spread of the virus through live updates and real-time information related to confirmed cases, recovery numbers, and mortality rates.
  • Effective screening of patients – Machine learning has been used by a hospital in Florida to help respond to COVID-19. When visitors enter the hospital facility they are given an automatic face scan that uses machine learning to sense whether or not they have a fever. This is especially helpful when dealing with hundreds and thousands of patients as every piece of data helps to triage them effectively.
  • Rapidly identify and prioritize drug candidates – Machine learning can help health institutes and medical researchers to identify effective existing drugs. This can be done by building knowledge graphs and predicting interactions between drugs and vital proteins.
  • AI is helping to reduce hospital staff workloads – Labor intensive testing for the virus is time-consuming. AI technologies are helping and facilitating with forms of testing such as x-ray scanning. AI programs are also available for chest screening now which provides quick COVID-19 risk evaluation as compared to radiologists.

Conclusion

AI tools and machine learning has greatly helped countries by accelerating research and the treatment process. Machine learning and AI has made a considerable impact by helping hospitals and health care providers to address the pandemic. Even after the pandemic is over AI will gain continued eminence to solve many challenges in our world.