Artificial Intelligence in Healthcare: Validating an AI Algorithm in Health Institutions in the COVID-19 Pandemic (a Use Case)

Authors

DOI:

https://doi.org/10.14515/monitoring.2021.1.1736

Keywords:

artificial intelligence, medical aid, radiology, healthcare, pandemic, COVID-19

Abstract

The paper considers new challenges related to public health. Action is needed to improve access to healthcare while maintaining its quality. The introduction of AI-based automated data analysis systems can be a solution to that. The present study seeks to assess the use of AI in outpatient care to detect pathological changes in the lungs typical of a coronavirus amidst the pandemic. The sample size was 600 patients. The results were statistically and analytically processed. The sensitivity attained 94%; the specificity, accuracy and the area under the ROC curve were 77%, 83%, and 87%, respectively. The negative predictive value was 97%; the positive predictive value was 66%. The data obtained show that the algorithm separates the CT scan results having no abnormalities in the lungs. The authors conclude that the usage of AI technologies helped to improve diagnostic accuracy during the COVID-19 pandemic. Artificial intelligence algorithms can also work with patients in non-pandemic times, thus improving healthcare access.

Author Biographies

Ivan A. Blokhin , Research and Practical Clinical Center for Diagnostics and Telemedicine Technologies of the Moscow Health Care Department

  • Research and Practical Clinical Center for Diagnostics and Telemedicine Technologies of the Moscow Health Care Department, Moscow, Russia
    • Junior Researcher at the Radiology Research Sector

Sergei P. Morozov, Research and Practical Clinical Center for Diagnostics and Telemedicine Technologies of the Moscow Health Care Department

  • Research and Practical Clinical Center for Diagnostics and Telemedicine Technologies of the Moscow Health Care Department, Moscow, Russia
    • Dr. Sci. (Med.), Professor, Director

Valeria Yu. Chernina, Research and Practical Clinical Center for Diagnostics and Telemedicine Technologies of the Moscow Health Care Department

  • Research and Practical Clinical Center for Diagnostics and Telemedicine Technologies of the Moscow Health Care Department, Moscow, Russia
    • Head of Radiology Research Sector

Anna E. Andreychenko , Research and Practical Clinical Center for Diagnostics and Telemedicine Technologies of the Moscow Health Care Department

  • Research and Practical Clinical Center for Diagnostics and Telemedicine Technologies of the Moscow Health Care Department, Moscow, Russia
    • Head of Medical Informatics, Radiomics and Radiogenomics Division

Islam V. Shakhabov, Research and Practical Clinical Center for Diagnostics and Telemedicine Technologies of the Moscow Health Care Department

  • Research and Practical Clinical Center for Diagnostics and Telemedicine Technologies of the Moscow Health Care Department, Moscow, Russia
    • Cand. Sci. (Med.), Researcher at the Medical Research Department

Aleksey V. Smyshlyaev, Federal Research Institute for Health Organization and Informatics of Ministry of Health of the Russian Federation, Moscow, Russia

  • Federal Research Institute for Health Organization and Informatics of Ministry of Health of the Russian Federation, Moscow, Russia

    • Cand. Sci. (Med.), Leading Researcher of the Department of Scientific Foundations of Organization of Outpatient Care

Viktor A. Gombolevskiy, Research and Practical Clinical Center for Diagnostics and Telemedicine Technologies of the Moscow Health Care Department

  • Research and Practical Clinical Center for Diagnostics and Telemedicine Technologies of the Moscow Health Care Department, Moscow, Russia
    • Cand. Sci. (Med.), Head of Medical Research Department

Published

2021-03-04

Issue

Section

INTER-DISCIPLINARY STUDIES

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