New AI on CT predicts how COVID-19 will evolve and whether there is a risk of death

In a new work, a research group led by Hiroyuki Yoshida found out that if AI is

unsupervised learning on the results of computed tomography (CT), he will be able to predict with a high degree of probability how the patient will have the disease.

The model determines the point for each patient,how COVID-19 will progress, as well as the time to enter intensive care. In addition, with the help of AI, patients can be divided into groups of low and high risk of severe disease.

Our results show that forecasts fromuncontrolled AI models have been made with greater precision than other similar designs. Now you can make predictions about the development of the disease immediately based on CT data.

Research text

Early versions of predictive AIdiseases were limited by various subjective assessments, semi-automatic prediction schemes or other control methods. In this case, the percentage of forecasts that came true declined.

The authors of the new work believe that their developmentcan be effectively used not only for a new type of coronavirus, but also for other serious diseases: you only need to adapt the data, and the basis is already there.

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