Use of AI Algorithms to fight COVID

The coronavirus affects different people in different ways, with some experiencing mild symptoms, and others severe. certain AI algorithms predicted with an accuracy of 70-80% the people who became extremely sick.

Every ounce of technological innovation and ingenuity harnessed to fight this pandemic brings us one step closer to overcoming it. Artificial intelligence (AI) and machine learning are playing a key role in better understanding and addressing the COVID-19 crisis. Machine learning technology enables computers to mimic human intelligence and ingest large volumes of data to quickly identify patterns and insights.

ML to Forecast Spread of Covid

Machine learning is also helping researchers and practitioners analyze large volumes of data to forecast the spread of COVID-19, in order to act as an early warning system for future pandemics and to identify vulnerable populations.

To tackle SARS-CoV-2, scientists developed a few vaccines that directly target the virus or block its entry into the body. However, there are no new treatments available for COVID-19 and most of the clinical therapies are aimed at handling with the symptoms. Several repurposed drugs, such as remdesivir, have been tested and approved to treat severe COVID-19 patients.

With AI algorithms illustrating abilities in predicting and diagnosing epidemiological trends of diseases, it is possible that it can also be applied to combat COVID-19.Certain AI algorithms were developed by a group of researchers that run from random forest, a simple diverse and high-functioning algorithm by generating multiple decision trees and averaging them in order to make an accurate prediction.

Artificial neural networks (ANNs) are one of the main tools in AI. The neural networks used in ANNs are modeled after the neurons of a biological brain.

We all have seen that Covid-19 has not left any part of the world.  Dependence on healthcare systems, technology and advanced tools has increased immensely. This dependence has caused a lack of beds for severely infected patients as well as limited supplies. Digital images such as X-rays and CT scans can be used to detect abnormalities in COVID-19 patients. AI can be used to assist physicians to screen COVID-19 patients effectively and aid with the consequence of limited supplies that can happen during pandemics.

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