Scientists have created a new artificial intelligence tool that can predict who will die from COVID-19. Amazingly, the tool can make its prediction with up to 90% accuracy.

Researches used data from almost 4,000 COVID-19 patients to train their AI tools and then find patterns in that data.

Professor Mads Nielsen of the University of Copenhagen says that the new tool could be used to try and predict who should receive a vaccine before others based on their mortality rate. The data could also be used to make sure that the correct resources are redirected to specific hospitals.

We are working towards a goal that we should be able to predict the need for respirators five days ahead by giving the computer access to health data on all COVID positives in the region. The computer will never be able to replace a doctor’s assessment, but it can help doctors and hospitals see many COVID-19 infected patients at once and set ongoing priorities.

According to the data collected and spat out by the new tool things like a person’s BMI and age have the biggest impact on whether a COVID-19 patient would be able to survive the ordeal or not. Issues like asthma, heart disease, and diabetes are also notable.

“For those affected by one or more of these parameters, we have found that it may make sense to move them up in the vaccine queue, to avoid any risk of them becoming infected and eventually ending up on a respirator,” said Nielsen.

You can read more information about the new tool in the journal Nature.

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