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Morozov S.P.

Research and Practical Clinical Center for Diagnostics and Telemedicine Technologies of the Moscow Health Care Department

Gavrilov A.V.

D.V. Skobeltsyn Research Institute of Nuclear Physics M.V. Lomonosov Moscow State University

Arkhipov I.V.

D.V. Skobeltsyn Research Institute of Nuclear Physics M.V. Lomonosov Moscow State University

Dolotova D.D.

Gammamed-Soft, LLC

Lysenko M.A.

Moscow City Hospital No. 52;
Pirogov Russian National Research Medical University

Tsarenko S.V.

City Clinical Hospital No. 52 of the Moscow Health Care Department

Smorshok V.N.

City Clinical Hospital No. 52 of the Moscow Health Care Department

Parshin V.V.

Sechenov First Moscow State Medical University

Korb T.A.

Research and Practical Clinical Center for Diagnostics and Telemedicine Technologies of the Moscow Health Care Department

Gonchar A.P.

Research and Practical Clinical Center for Diagnostics and Telemedicine Technologies of the Moscow Health Care Department

Blokhin I.A.

Research and Practical Clinical Center for Diagnostics and Telemedicine Technologies of the Moscow Health Care Department

Logunova T.A.

Research and Practical Clinical Center for Diagnostics and Telemedicine Technologies of the Moscow Health Care Department

Evteeva K.B.

Research and Practical Clinical Center for Diagnostics and Telemedicine Technologies of the Moscow Health Care Department

Andreychenko A.E.

Research and Practical Clinical Center for Diagnostic and Telemedicine Technologies

Vladzymyrskyy A.V.

Research and Practical Clinical Center for Diagnostic and Telemedicine Technologies;
Sechenov First Moscow State Medical University (Sechenov University)

Omelyanskaya O.V.

Research and Practical Clinical Center for Diagnostic and Telemedicine Technologies

Gombolevskiy V.A.

Research and Practical Clinical Center for Diagnostics and Telemedicine Technologies of the Moscow Health Care Department

Effect of artificial intelligence technologies on the CT scan interpreting time in COVID-19 patients in inpatient setting

Authors:

Morozov S.P., Gavrilov A.V., Arkhipov I.V., Dolotova D.D., Lysenko M.A., Tsarenko S.V., Smorshok V.N., Parshin V.V., Korb T.A., Gonchar A.P., Blokhin I.A., Logunova T.A., Evteeva K.B., Andreychenko A.E., Vladzymyrskyy A.V., Omelyanskaya O.V., Gombolevskiy V.A.

More about the authors

Journal: Russian Journal of Preventive Medicine. 2022;25(1): 14‑20

DOI: 10.17116/profmed20222501114

Views: 3191

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To cite this article:

Morozov SP, Gavrilov AV, Arkhipov IV, et al. . Effect of artificial intelligence technologies on the CT scan interpreting time in COVID-19 patients in inpatient setting. Russian Journal of Preventive Medicine. 2022;25(1):14‑20. (In Russ.)
https://doi.org/10.17116/profmed20222501114

Подписка 2025 (Russian Journal of Preventive Medicine)
 
 
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The practical utility of thoracic computed tomography (CT) imaging in patients with suspected coronavirus infection (COVID-19) has been repeatedly described. With a heavy workload during the pandemic, radiologists are pressed for time to interpret results. Artificial intelligence (AI) technologies can reduce the time needed for CT study interpretation and protocol generation.

OBJECTIVE

To evaluate the effect of the AI algorithm on the chest CT scan interpretation time for suspected COVID-19 in an inpatient setting.

MATERIAL AND METHODS

A retrospective study was conducted and the protocol is registered in ClinicalTrials.gov (NCT04489992). The study was based on the data of patients who underwent chest CT scan between 08.04.20 and 01.12.20 in 105 municipal inpatient healthcare organizations. Chest CT scans were performed according to standard scanning protocols. The radiologists analyzed the scans with and without the Gamma Multivox Covirus AI service. The generation of medical report protocols was carried out in the Unified Radiology Information Service as part of the Unified Medical Information and Analytical System of Moscow.

RESULTS

3133 CT studies with signs of COVID-19-associated pneumonia were analyzed without the AI (Group 1) and 63.379 with the AI (Group 2). The median interpretation time in Groups 1 and 2 was 103.0 and 46.0 min, respectively. Analysis of the radiologist’s chest CT findings interpretation time before and after AI implementation showed significant differences (p<0.0001). The average chest CT interpretation time when using AI decreased by 29.4%.

CONCLUSION

The introduction of AI technology aimed at the pulmonary changes detection in COVID-19 according to chest CT scanning into the practical work of inpatient radiology departments reduces the time of the interpretation protocol generation by radiologists.

Keywords:

COVID-19
coronavirus
computed tomography
artificial intelligence
radiology

Authors:

Morozov S.P.

Research and Practical Clinical Center for Diagnostics and Telemedicine Technologies of the Moscow Health Care Department

Gavrilov A.V.

D.V. Skobeltsyn Research Institute of Nuclear Physics M.V. Lomonosov Moscow State University

Arkhipov I.V.

D.V. Skobeltsyn Research Institute of Nuclear Physics M.V. Lomonosov Moscow State University

Dolotova D.D.

Gammamed-Soft, LLC

Lysenko M.A.

Moscow City Hospital No. 52;
Pirogov Russian National Research Medical University

Tsarenko S.V.

City Clinical Hospital No. 52 of the Moscow Health Care Department

Smorshok V.N.

City Clinical Hospital No. 52 of the Moscow Health Care Department

Parshin V.V.

Sechenov First Moscow State Medical University

Korb T.A.

Research and Practical Clinical Center for Diagnostics and Telemedicine Technologies of the Moscow Health Care Department

Gonchar A.P.

Research and Practical Clinical Center for Diagnostics and Telemedicine Technologies of the Moscow Health Care Department

Blokhin I.A.

Research and Practical Clinical Center for Diagnostics and Telemedicine Technologies of the Moscow Health Care Department

Logunova T.A.

Research and Practical Clinical Center for Diagnostics and Telemedicine Technologies of the Moscow Health Care Department

Evteeva K.B.

Research and Practical Clinical Center for Diagnostics and Telemedicine Technologies of the Moscow Health Care Department

Andreychenko A.E.

Research and Practical Clinical Center for Diagnostic and Telemedicine Technologies

Vladzymyrskyy A.V.

Research and Practical Clinical Center for Diagnostic and Telemedicine Technologies;
Sechenov First Moscow State Medical University (Sechenov University)

Omelyanskaya O.V.

Research and Practical Clinical Center for Diagnostic and Telemedicine Technologies

Gombolevskiy V.A.

Research and Practical Clinical Center for Diagnostics and Telemedicine Technologies of the Moscow Health Care Department

Received:

21.09.2021

Accepted:

12.11.2021

List of references:

  1. Morozov SP, Reshetnikov RV, Gombolevskiy VA, Ledikhova NV, Blokhin IA, Mokienko OA. Diagnostic accuracy of computed tomography for identifying hospitalizations for patients with COVID-19. Digital Diagnostics. 2021;2(1):5-16. (In Russ.). https://doi.org/10.17816/DD46818
  2. Morozov S, Ledikhova N, Panina E, Polishchuk N, Shulkin I, Baryshov V, Mokienko O, Reshetnikov R, Gombolevskiy V. Re: Controversy in coronaViral Imaging and Diagnostics (COVID). Clin Radiol. 2020;75(11):871-872.  https://doi.org/10.1016/j.crad.2020.07.023
  3. Morozov SP, Procenko DN, Smetanina SV, Andrejchenko AE, Ambrosi OE, Balanyuk EA, Vladzimirskij AV, Vetsheva NN, Gombolevskij VA, Epifanova SV, Ledihova NV, Lobanov MN, Pavlov NA, Panina EB, Polishchuk NS, Riden TV, Sokolina IA, Turavilova EV, Fedorov SS, Chernina VYu, Shul’kin IM. Luchevaya diagnostika koronavirusnoj bolezni (COVID-19): organizaciya, metodologiya, interpretaciya rezul’tatov. Preprint №CDT — 2020 — II. Versiya 2 ot 17.04.20. Luchshie praktiki luchevoj i instrumental’noj diagnostiki. Vyp. 65. M.: NPKC DiT DZM; 2020. (In Russ.).
  4. Korb TA, Gavrilov PV, Chernina VYu, Blokhin IA, Aleshina OO, Mokienko OA, Morozov SP, Gombolevskiy VA. Specificity of chest computed tomography in COVID-19-associated pneumonia: a retrospective study. Almanac of Clinical Medicine. 2021;49(1):1-10. (In Russ.). https://doi.org/10.18786/2072-0505-2021-49-001
  5. Morozov SP, Chernina VYu, Blokhin IA, Gombolevskiy VA. Chest computed tomography for outcome prediction in laboratory-confirmed COVID-19: A retrospective analysis of 38,051 cases. Digital Diagnostics. 2020;1(1):27-36. (In Russ.). https://doi.org/10.17816/DD46791
  6. Ageev FA, Ambrosi OE, Anciferov MB, Belevskij AS, Bulanov AYu, Vasil’eva EYu, Zhuravleva MV, Zagrebneva AI, Zajrat’yanc OV, Lysenko MA, Mazus AI, Morozov SP, Petrikov SS, Plavunov NF, Procenko DN, Smetanina SV, Tokarev AS, Tyazhel’nikov AA, Urozhaeva YuV, Fomina DS, Cibin AN, Cyganova EV, Churadze BT. Klinicheskij protokol diagnostiki novoj koronavirusnoj infekcii (COVID-19) u bol’nyh, nahodjashhihsja na stacionarnom lechenii v medicinskih organizacijah gosudarstvennoj sistemy zdravoohranenija goroda Moskvy. M.: GBU NIIOZMM DZM; 2021. (In Russ.).
  7. Morozov SP, Kuzmina ES, Ledikhova NV, Vladzymyrskyy AV, Trofimenko IA, Mokienko OA, Panina EV, Andreychenko AE, Omelyanskaya OV, Gombolevskiy VA, Polishhuk NS, Shulkin IM, Reshetnikov RV. Mobilizing the academic and practical potential of diagnostic radiology during the COVID-19 pandemic in Moscow. Digital Diagnostics. 2020;1(1):5-12. (In Russ.). https://doi.org/10.17816/DD51043
  8. Morozov SP, Vladzymyrskyy AV, Ledikhova NV, Andrejchenko AE, Arzamasov KM, Balanjuk EA, Gombolevskij VA, Ermolaev SO, Zhivodenko VS, Idrisov IM, Kirpichev JuS, Logunova TA, Nuzhdina VA, Omeljanskaja OV, Rakovchen VG, Slepushkina AV. Moscow experiment on computer vision in radiology: involvement and participation of radiologists. Vrach i informacionnye tehnologii. 2020;4:14-23. (In Russ.). https://doi.org/10.37690/1811-0193-2020-4-14-23
  9. Morozov SP, Vladzymyrskyy AV, Kljashtornyj VG, Andrejchenko AE, Kul’berg NS, Gombolevskiy VA. Klinicheskie ispytanija programmnogo obespechenija na osnove intellektual’nyh tehnologij (luchevaja diagnostika). Serija «Luchshie praktiki luchevoj i instrumental’noj diagnostiki». Vyp. 57. M. 2019. (In Russ.).
  10. Morozov SP, Andreychenko AE, Blokhin IA, Gelezhe PB, Gonchar AP, Nikolaev AE, Pavlov NA, Chernina VYu, Gombolevskiy VA. MosMedData: data set of 1110 chest CT scans performed during the COVID-19 epidemic. Digital Diagnostics. 2020;1(1):49-59. (In Russ.). https://doi.org/10.17816/DD46826
  11. Goncharov M, Pisov M, Shevtsov A, Shirokikh B, Kurmukov A, Blokhin I, Chernina V, Solovev A, Gombolevskiy V, Morozov S, Belyaev M. CT-Based COVID-19 triage: Deep multitask learning improves joint identification and severity quantification. Med Image Anal. 2021;71:102054. https://doi.org/10.1016/j.media.2021.102054
  12. Blokhin IA, Morozov SP, Chernina VY, Andreychenko AE, Shakhabov IV, Smyshlyaev AV, Gombolevskiy VA. Artificial Intelligence in Healthcare: Validating an AI Algorithm in Health Institutions in the COVID-19 Pandemic (a Use Case). Monitoring of Public Opinion: Economic and Social Changes. 2021;1:271-282. (In Russ.). https://doi.org/10.14515/monitoring.2021.1.1736
  13. Jin C, Chen W, Cao Y, Xu Z, Tan Z, Zhang X, Deng L, Zheng C, Zhou J, Shi H, Feng J. Development and evaluation of an artificial intelligence system for COVID-19 diagnosis. Nat Commun. 2020;11(1):5088. https://doi.org/10.1038/s41467-020-18685-1
  14. Ni Q, Sun ZY, Qi L, Chen W, Yang Y, Wang L, Zhang X, Yang L, Fang Y, Xing Z, Zhou Z, Yu Y, Lu GM, Zhang LJ. A deep learning approach to characterize 2019 coronavirus disease (COVID-19) pneumonia in chest CT images. Eur Radiol. 2020;30(12):6517-6527. https://doi.org/10.1007/s00330-020-07044-9
  15. Yao JC, Wang T, Hou GH, Ou D, Li W, Zhu QD, Chen WC, Yang C, Wang LJ, Wang LP, Fan LY, Shi KY, Zhang J, Xu D, Li YQ. AI detection of mild COVID-19 pneumonia from chest CT scans. Eur Radiol. 2021; 31(9):7192-7201. https://doi.org/10.1007/s00330-021-07797-x
  16. Bai HX, Wang R, Xiong Z, Hsieh B, Chang K, Halsey K, Tran TML, Choi JW, Wang DC, Shi LB, Mei J, Jiang XL, Pan I, Zeng QH, Hu PF, Li YH, Fu FX, Huang RY, Sebro R, Yu QZ, Atalay MK, Liao WH. Artificial Intelligence Augmentation of Radiologist Performance in Distinguishing COVID-19 from Pneumonia of Other Origin at Chest CT. Radiology. 2020;296(3):156-165.  https://doi.org/10.1148/radiol.2020201491
  17. Yang Y, Lure FYM, Miao H, Zhang Z, Jaeger S, Liu J, Guo L. Using artificial intelligence to assist radiologists in distinguishing COVID-19 from other pulmonary infections. J Xray Sci Technol. 2021;29(1):1-17.  https://doi.org/10.3233/XST-200735
  18. Zhang K, Liu X, Shen J, Li Z, Sang Y, Wu X, Zha Y, Liang W, Wang C, Wang K, Ye L, Gao M, Zhou Z, Li L, Wang J, Yang Z, Cai H, Xu J, Yang L, Cai W, Xu W, Wu S, Zhang W, Jiang S, Zheng L, Zhang X, Wang L, Lu L, Li J, Yin H, Wang W, Li O, Zhang C, Liang L, Wu T, Deng R, Wei K, Zhou Y, Chen T, Lau JY, Fok M, He J, Lin T, Li W, Wang G. Clinically Applicable AI System for Accurate Diagnosis, Quantitative Measurements, and Prognosis of COVID-19 Pneumonia Using Computed Tomography. Cell. 2020;181(6):1423-1433. https://doi.org/10.1016/j.cell.2020.04.045
  19. Morozov SP, Chernina VY, Andreychenko AE, Vladzimirskij AV, Mokienko OA, Gombolevskij VA. How does artificial intelligence effect on the assessment of lung damage in COVID-19 on chest CT scan? Digital Diagnostics. 2021;2(1):27-38. (In Russ.). https://doi.org/10.17816/DD60040
  20. Morozov SP, Gombolevskiy VA, Chernina VYu, Blokhin IA, Mokienko OA, Vladzimirskiy AV, Belevskiy AS, Protsenko DN, Lysenko MA, Zayratyants OV, Nikonov EL. Prediction of lethal outcomes in COVID-19 cases based on the results chest computed tomography. Tuberculosis and Lung Diseases. 2020;98(6):7-14. (In Russ.). https://doi.org/10.21292/2075-1230-2020-98-6-7-14
  21. O’Neill TJ, Xi Y, Stehel E, Browning T, Ng YS, Baker C, Peshock RM. Active Reprioritization of the Reading Worklist Using Artificial Intelligence Has a Beneficial Effect on the Turnaround Time for Interpretation of Head CT with Intracranial Hemorrhage. Radiology. Artificial intelligence. 2020;3(2): e200024. https://doi.org/10.1148/ryai.2020200024
  22. Wismüller A, Stockmaster L. A prospective randomized clinical trial for measuring radiology study reporting time on Artificial Intelligence-based detection of intracranial hemorrhage in emergent care head CT. Proc. SPIE 11317, Medical Imaging 2020: Biomedical Applications in Molecular, Structural, and Functional Imaging, 113170M (28 February 2020). https://doi.org/10.1117/12.2552400
  23. Bazovye funkcional’nye trebovaniya k rabote II-servisov. Sajt Eksperimenta po ispol’zovaniyu innovacionnyh tekhnologij v oblasti komp’yuternogo zreniya dlya analiza medicinskih izobrazhenij i ego dal’nejshego primeneniya v sisteme zdravoohraneniya goroda Moskvy mosmed.ai. 2021. (In Russ.). https://mosmed.ai/documents/129/%D0%91%D0%B0%D0%B7%D0%BE%D0%B2%D1%8B%D0%B5_%D1%84%D1%83%D0%BD%D0%BA%D1%86%D0%B8%D0%BE%D0%BD%D0%B0%D0%BB%D1%8C%D0%BD%D1%8B%D0%B5_%D1%82%D1%80%D0%B5%D0%B1%D0%BE%D0%B2%D0%B0%D0%BD%D0%B8%D1%8F_%D1%81%D0%B5%D0%BD%D1%82%D1%8F%D0%B1%D1%80%D1%8C_2021.pdf
  24. Liderbord II-servisov: avgust 2021. Sajt Eksperimenta po ispol’zovaniyu innovacionnyh tekhnologij v oblasti komp’yuternogo zreniya dlya analiza medicinskih izobrazhenij i ego dal’nejshego primeneniya v sisteme zdravoohraneniya goroda Moskvy mosmed.ai. 2021. (In Russ.). https://mosmed.ai/documents/137/%D0%9B%D0%B8%D0%B4%D0%B5%D1%80%D0%B1%D0%BE%D1%80%D0%B4_%D0%98%D0%98-%D1%81%D0%B5%D1%80%D0%B2%D0%B8%D1%81%D0%BE%D0%B2_%D0%B0%D0%B2%D0%B3%D1%83%D1%81%D1%82_2021.pdf

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