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Project

Diagnostics of COVID-19 in Ivanov is carried out on the computer tomograph using AI

Customers: City clinical hospital No. 4, Ivanovo

Ivanovo; Pharmaceutics, medicine, health care

Product: Care Mentor AI the Neuronet for the description of x-rays
На базе: Artificial intelligence (AI, Artificial intelligence, AI)

Project date: 2020/03  - 2020/06

2020: Diagnostics of COVID-19 on the computer tomograph from AI

Diagnostics of COVID-19 in Ivanov is carried out on the computer tomograph with use of artificial intelligence technologies. On July 7, 2020 the Care Mentor AI company reported about it.

Diagnostics of COVID-19 in Ivanov is carried out on the computer tomograph

use of artificial intelligence technologies ]]

The computer tomograph which is installed in city to clinical hospital No. 4 company "UZ Regional diagnostic the center" is also used for inspection of patients with suspicion on COVID-19, equipped with artificial intelligence for profile diagnostics. It allows to automate issue of the conclusion about and time is essential to reduce severity of a disease inspections.

Diagnostic service for the analysis of KT of researches of a thorax patients with suspicion on the damage of lungs caused by new koronavirusny infection (Care Mentor AI brand), it is provided by the company Kerementoreyay LLC developer.

In GKB No. 4 the computer tomograph works Siemens SOMATOM go. It is the device equipped with artificial intelligence. However system, set by the producer of the tomograph initially, does not allow perform diagnostics of COVID-19.

The set service based on machine learning technologies and artificial neural networks, allows to define the main signs COVID-19, including automatically to calculate percent of damage of lungs and issue the conclusion about severity of a radiological picture defeats.

Use of this technology allows to reduce time significantly inspections.

{{the quote|If it is normal on the analysis of results of a research of one the doctor spends the patient from 25 to 40 minutes (and even more if a case serious), that this service allows to receive result in 5-8 minutes, – the director says' Kerementreyay LLC Ilya.' '' – It will help to avoid queues on KT and to reduce waiting time for patients. Besides, more quickly the decision on further routing of patients.} is made }

Also automatic calculation of volume damage of lungs allows with the maximum accuracy to estimate dynamics of pathological changes of lungs. AI is capable to work 24/7 and is, in fact, tireless medical assistant.

Director of the department of health care of the Ivanovo region Artur Fokin noted that the appeared technique allows to use low-dose tomography and also to provide the high accuracy of diagnosis.

{{the quote|And assessment of a status of the patient in dynamics – it is very important too in order that look in what direction the disease develops. It gives the chance to the doctor introduce amendments in the scheme of treatment, – Artur Fokin.} emphasized }

It is possible to refer quality improvement of primary to pluses diagnostics and control researches and also optimization of labor costs the specialist at the expense of an exception of accomplishment of routine computing procedures. The tomograph installed in GKB No. 4 works in round-the-clock the mode, from 80 to 125 researches are executed per day. Implementation will allow to optimize work.

As the head of research department of Ltd company told "КэреМенторЭйАй" – professor, the doctor of medical sciences Dmitry Blinov, in to perspective segmentatsionny model of computer vision which is the cornerstone systems, it can be transformed and used in other areas medicine, including in oncology for identification of focal educations lungs.