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. 2022 Aug 22;22(16):6312.
doi: 10.3390/s22166312.

Database and AI Diagnostic Tools Improve Understanding of Lung Damage, Correlation of Pulmonary Disease and Brain Damage in COVID-19

Ilona Karpiel  1 , Ana Starcevic  2 , Mirella Urzeniczok  1
Affiliations

Database and AI Diagnostic Tools Improve Understanding of Lung Damage, Correlation of Pulmonary Disease and Brain Damage in COVID-19

Ilona Karpiel et al. Sensors (Basel). .

Abstract

The COVID-19 pandemic caused a sharp increase in the interest in artificial intelligence (AI) as a tool supporting the work of doctors in difficult conditions and providing early detection of the implications of the disease. Recent studies have shown that AI has been successfully applied in the healthcare sector. The objective of this paper is to perform a systematic review to summarize the electroencephalogram (EEG) findings in patients with coronavirus disease (COVID-19) and databases and tools used in artificial intelligence algorithms, supporting the diagnosis and correlation between lung disease and brain damage, and lung damage. Available search tools containing scientific publications, such as PubMed and Google Scholar, were comprehensively evaluated and searched with open databases and tools used in AI algorithms. This work aimed to collect papers from the period of January 2019-May 2022 including in their resources the database from which data necessary for further development of algorithms supporting the diagnosis of the respiratory system can be downloaded and the correlation between lung disease and brain damage can be evaluated. The 10 articles which show the most interesting AI algorithms, trained by using open databases and associated with lung diseases, were included for review with 12 articles related to EEGs, which have/or may be related with lung diseases.

Keywords: AI diagnostic; EEG; SARS-CoV-2; artificial intelligence; brain damage; databases; lung diseases; pulmonary disease.

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Conflict of interest statement

None of the authors have any potential conflict of interest.

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References

    1. Young M.J., O’Hare M., Matiello M., Schmahmann J.D. Creutzfeldt-Jakob Disease in a Man with COVID-19: SARS-CoV-2-Accelerated Neurodegeneration? Brain Behav. Immun. 2020;89:601–603. doi: 10.1016/j.bbi.2020.07.007. - DOI - PMC - PubMed
    1. Galanopoulou A.S., Ferastraoaru V., Correa D.J., Cherian K., Duberstein S., Gursky J., Hanumanthu R., Hung C., Molinero I., Khodakivska O., et al. EEG Findings in Acutely Ill Patients Investigated for SARS-CoV-2/COVID-19: A Small Case Series Preliminary Report. Epilepsia Open. 2020;5:314–324. doi: 10.1002/epi4.12399. - DOI - PMC - PubMed
    1. Zoghi A., Ramezani M., Roozbeh M., Darazam I.A., Sahraian M.A. A Case of Possible Atypical Demyelinating Event of the Central Nervous System Following COVID-19. Mult. Scler. Relat. Disord. 2020;44:102324. doi: 10.1016/j.msard.2020.102324. - DOI - PMC - PubMed
    1. Corazza L.A., Tatsch J.F.S., Barros M.P., de Queiroz A.P., Batista L.L.R., Aidar M.B., Baldocchi M.A., Rocha M.S.G., Brucki S.M.D. Electroencephalographic Findings among Inpatients with COVID-19 in a Tertiary Hospital from a Middle-Income Country. Arq. Neuro-Psiquiatr. 2021;79:315–320. doi: 10.1590/0004-282x-anp-2020-0555. - DOI - PMC - PubMed
    1. Mahammedi A., Ramos A., Bargalló N., Gaskill M., Kapur S., Saba L., Carrete H., Sengupta S., Salvador E., Hilario A., et al. Brain and Lung Imaging Correlation in Patients with COVID-19: Could the Severity of Lung Disease Reflect the Prevalence of Acute Abnormalities on Neuroimaging? A Global Multicenter Observational Study. AJNR Am. J. Neuroradiol. 2021;42:1008–1016. doi: 10.3174/ajnr.A7072. - DOI - PMC - PubMed

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