Mobilizing the academic and practical potential of diagnostic radiology during the COVID-19 pandemic in Moscow

At the beginning of the first wave of the COVID-19 pandemic, a network of outpatient CT centers (OCTC) for lung pathology diagnostics in patients with suspected viral pneumonia with the round-the-clock operation was formed in Moscow. The introduction of the CT 0-4 scale allowed for effective routing...

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Bibliographic Details
Published in:	Digital diagnostics Vol. 1; no. 1; pp. 5 - 12
Main Authors:	Morozov, Sergey P., Kuzmina, Ekaterina S., Ledikhova, Natalya V., Vladzymyrskyy, Anton V., Trofimenko, Irina A., Mokienko, Olesya A., Panina, Elena V., Andreychenko, Anna E., Omelyanskaya, Olga V., Gombolevskiy, Victor A., Polishchuk, Nikita S., Shulkin, Igor M., Reshetnikov, Roman V.
Format:	Journal Article
Language:	English
Published:	Eco-Vector 30-12-2020
Subjects:	artificial intelligence covid-19
Online Access:	Get full text
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Summary:	At the beginning of the first wave of the COVID-19 pandemic, a network of outpatient CT centers (OCTC) for lung pathology diagnostics in patients with suspected viral pneumonia with the round-the-clock operation was formed in Moscow. The introduction of the CT 0-4 scale allowed for effective routing. To prevent the spread of infection among patients and staff, OCTC zoning was introduced, dividing into red, buffer, and green zones. As part of the mobilization of the Radiology Service, the Moscow Reference Center was established, aimed at quality control, remote expert consultations, and organizational and methodological support. Several online courses and training webinars have been developed. Artificial Intelligence services were connected to recognize the signs of COVID-19 and assess the severity. The developed strategy of the Moscow Radiology Service ensured readiness for the high burden on the city health care system and minimized losses among medical personnel. The experts significantly contributed to effective infection control through accessible, timely, and high-quality diagnostics and routing.
ISSN:	2712-8490 2712-8962
DOI:	10.17816/DD51043