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KT-calculator

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Developers: Moscow State University (MSU)
Date of the premiere of the system: December, 2020
Branches: Pharmaceutics, medicine, health care

2020: Start of service for determination of weight of pneumonia on blood test

In the middle of December, 2020 Russia the free service for determination of weight of pneumonia for blood test — "KT-calculator" is started. It is developed by researchers of Lomonosov Moscow State University using artificial intelligence technologies and machine learning.

As reported on the official site of the Mayor of Moscow, the neural network will help the doctor to predict the probability of easy (KT 0-1), average (KT 2) or the heavy (KT 3-4) course of pneumonia and to make the decision on further tactics of treatment. In some cases if the calculator assumes an easy form of pneumonia, it is possible to refuse carrying out a computer tomography. In others — immediately to hospitalize the patient, to carry out KT-diagnostics or X-ray and to begin intensive treatment.

In the Russian Federation the free service for determination of weight of pneumonia for blood test appeared

For training of neural network were compared given blood tests, a saturation, the overall clinical picture of patients for whom pneumonia at COVID-19 coronavirus was diagnosed, with their results of a computer tomography.

To be discharged weight of pneumonia, it is necessary to enter data on itself (a sex, age, chronic diseases), then symptoms in the beginning (short wind, weight into breasts, weakness) and, at last, analysis results — hemoglobin in blood, gematokrit, number of lymphocytes, etc.

The KT-calculator" in process of accumulation of new data will constantly study and be improved. Service is built in the Uniform medical information and analytical system of Moscow (EMIAS). Access to it is opened for doctors not only Moscow, but also other regions.

According to the Mayor of Moscow Sergey Sobyanin, to the middle of December, 2020 in the capital ten months use "computer vision" — the program which analyzes KT-pictures of lungs on the basis of artificial intelligence. In it electronic clinical records over 500 thousand people cured in Moscow since March, 2020 are used.[1] [2]

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