Login Register Cart 0
Generic placeholder image

Coronaviruses

Editor-in-Chief

ISSN (Print): 2666-7967
ISSN (Online): 2666-7975

Back
Journal Home About Journal Editorial Board Current Issue Volumes/Issues
Subscribe
Systematic Review Article

A Registry-based Audit of a Current Situation of Clinical Research in COVID-19 Using Artificial Intelligence Techniques: A Systematic Review

Author(s): Pugazhenthan Thangaraju*, Sree Sudha TY, Hemasri Velmurugan, Eswaran Thangaraju, Kaumudi Chirumamilla, Tulika Chakrabarti and Prasun Chakrabarti

Volume 4, Issue 4, 2023

Published on: 05 October, 2023

Article ID: e080923220834 Pages: 7

DOI: 10.2174/2666796704666230908124854

Price: $65

Open Access Journals Promotions 2
conference banner
Abstract

Background: The term artificial intelligence refers to the use of computers and technology to replicate intelligent behaviour and critical thinking similar to that of a human being. In COVID-19, artificial intelligence has been widely applied in diagnostics, public health, clinical decision-making, social control, treatments, vaccine development, monitoring, integration with big data, operation of additional vital clinical services, and patient management. Hence, we conceptualized this study to evaluate the usage of artificial intelligence as a tool at the time of the COVID-19 pandemic.

Methods: From December, 2019, to May, 2022, all clinical trials using AI approaches listed on clinicaltrials. gov and ctri.gov.in were examined and analysed.

Results: Out of 8072 studies on COVID-19 listed on ClinicalTrials.gov and 674 studies on the CTRI website, 53 studies were related to AI. Ten (18.9%) of the 53 studies were interventional, while the remaining 43 (81.1%) were observational.

Conclusion: With limited medical resources and growing healthcare strain, the introduction of AI approaches will increase human efficiency and capacity to combat the COVID-19 pandemic. In this review, artificial intelligence was proven to be more accurate than human specialists in COVID-19 diagnosis and medication discovery.

Keywords: Artificial intelligence, coronavirus, diagnostic algorithms, pandemic, research, trials.

Graphical Abstract

[1]
Malik YS, Sircar S, Bhat S, et al. How artificial intelligence may help the Covid‐19 pandemic: Pitfalls and lessons for the future. Rev Med Virol 2021; 31(5): 1-11.
[http://dx.doi.org/10.1002/rmv.2205] [PMID: 33476063]
[2]
Monteleone S, Kellici TF, Southey M, Bodkin MJ, Heifetz A. Fighting COVID-19 with artificial intelligence. Methods Mol Biol 2022; 2390: 103-12.
[http://dx.doi.org/10.1007/978-1-0716-1787-8_3] [PMID: 34731465]
[3]
Gudigar A, Raghavendra U, Nayak S, et al. Role of artificial intelligence in COVID-19 detection. Sensors 2021; 21(23): 8045.
[http://dx.doi.org/10.3390/s21238045]
[4]
Sareen S, Gupta SK, Sood SK. An intelligent and secure system for predicting and preventing Zika virus outbreak using Fog computing. Enterprise Inf Syst 2017; 11(9): 1-21.
[http://dx.doi.org/10.1080/17517575.2016.1277558]
[5]
Wong ZSY, Zhou J, Zhang Q. Artificial intelligence for infectious disease big data analytics. Infect Dis Health 2019; 24(1): 44-8.
[http://dx.doi.org/10.1016/j.idh.2018.10.002] [PMID: 30541697]
[6]
Makridakis S. The forthcoming Artificial Intelligence (AI) revolution: Its impact on society and firms. Futures 2017; 90: 46-60.
[http://dx.doi.org/10.1016/j.futures.2017.03.006]
[7]
Lamberti MJ, Wilkinson M, Donzanti BA, et al. A study on the application and use of artificial intelligence to support drug development. Clin Ther 2019; 41(8): 1414-26.
[http://dx.doi.org/10.1016/j.clinthera.2019.05.018] [PMID: 31248680]
[8]
WHO WHO Coronavirus (COVID-19) Dashboard. 2020. Available from: [https://covid19.who.int/
[9]
Rothan HA, Byrareddy SN. The epidemiology and pathogenesis of coronavirus disease (COVID-19) outbreak. J Autoimmun 2020; 109: 102433.
[http://dx.doi.org/10.1016/j.jaut.2020.102433] [PMID: 32113704]
[10]
Naresh BV. A review of the 2019 novel coronavirus (covid-19) pandemic. Asian J Pharmaceut Res 2020; 10(3): 233-8.
[11]
Chavhan AB, Jadhav PS, Shelke S. COVID 19: Outbreak, structure and current therapeutic strategies. Asian J Pharm Technol 2021; 11(1): 76-83.
[http://dx.doi.org/10.5958/2231-5713.2021.00013.1]
[12]
Cascella M, et al. Features, evaluation, and treatment of coronavirus (COVID-19). StatPearls 2022.
[13]
Velavan TP, Meyer CG. The COVID‐19 epidemic. Trop Med Int Health 2020; 25(3): 278-80.
[http://dx.doi.org/10.1111/tmi.13383] [PMID: 32052514]
[14]
Guan W, Ni Z, Hu Y, et al. Clinical characteristics of coronavirus disease 2019 in China. N Engl J Med 2020; 382(18): 1708-20.
[http://dx.doi.org/10.1056/NEJMoa2002032] [PMID: 32109013]
[15]
Aimrane A, Laaradia MA, Sereno D, et al. Insight into COVID-19's epidemiology, pathology, and treatment. Heliyon 2022; 8(1): e08799.
[http://dx.doi.org/10.1016/j.heliyon.2022.e08799] [PMID: 35071819]
[16]
Murthy S, Gomersall CD, Fowler RA. Care for critically Ill patients with COVID-19. JAMA 2020; 323(15): 1499-500.
[http://dx.doi.org/10.1001/jama.2020.3633] [PMID: 32159735]
[17]
dos Santos JLG, Stein Messetti PA, Adami F, et al. Collision of fundamental human rights and the right to health access during the novel coronavirus pandemic. Front Public Health 2021; 8: 570243.
[http://dx.doi.org/10.3389/fpubh.2020.570243] [PMID: 33490011]
[18]
Alimadadi A, Aryal S, Manandhar I, Munroe PB, Joe B, Cheng X. Artificial intelligence and machine learning to fight COVID-19. Physiol Genomics 2020; 52(4): 200-2.
[http://dx.doi.org/10.1152/physiolgenomics.00029.2020] [PMID: 32216577]
[19]
Nicola M, Alsafi Z, Sohrabi C, et al. The socio-economic implications of the coronavirus pandemic (COVID-19): A review. Int J Surg 2020; 78: 185-93.
[http://dx.doi.org/10.1016/j.ijsu.2020.04.018] [PMID: 32305533]
[20]
Adly AS, Adly MS. Can artificial intelligence and internet be the solution to prevent the exponential spread of COVID‐19? J Med Internet Res 2020; 22(8): e19104.
[http://dx.doi.org/10.2196/19104] [PMID: 32584780]
[21]
Wang L, Zhang Y, Wang D, et al. Artificial intelligence for COVID-19: A systematic review. Front Med 2021; 8: 704256.
[http://dx.doi.org/10.3389/fmed.2021.704256] [PMID: 34660623]
[22]
Elaziz MA, Hosny KM, Salah A, Darwish MM, Lu S, Sahlol AT. New machine learning method for image-based diagnosis of COVID-19. PLoS One 2020; 15(6): e0235187.
[http://dx.doi.org/10.1371/journal.pone.0235187] [PMID: 32589673]
[23]
Golinelli D, Boetto E, Carullo G, Nuzzolese AG, Landini MP, Fantini MP. Adoption of digital technologies in health care during the COVID-19 pandemic: Systematic review of early scientific literature. J Med Internet Res 2020; 22(11): e22280.
[http://dx.doi.org/10.2196/22280] [PMID: 33079693]
[24]
Hutson M. Could AI help you to write your next paper? Nature 2022; 611(7934): 192-3.
[http://dx.doi.org/10.1038/d41586-022-03479-w] [PMID: 36316468]
[25]
Crossnohere NL, Elsaid M, Paskett J, Bose-Brill S, Bridges JFP. Guidelines for artificial intelligence in medicine: Literature review and content analysis of frameworks. J Med Internet Res 2022; 24(8): e36823.
[http://dx.doi.org/10.2196/36823]
[26]
Acosta JN, Falcone GJ, Rajpurkar P, Topol EJ. Multimodal biomedical AI. Nat Med 2022; 28(9): 1773-84.
[http://dx.doi.org/10.1038/s41591-022-01981-2] [PMID: 36109635]
[27]
Clinical trial. 2020. Available from: https://clinicaltrials.gov/
[28]
Maille B, Wilkin M, Million M, et al. Smartwatch Electrocardiogram and artificial intelligence for assessing cardiac-rhythm safety of drug therapy in the COVID-19 pandemic. The QT-logs study. Int J Cardiol 2021; 331: 333-9.
[http://dx.doi.org/10.1016/j.ijcard.2021.01.002] [PMID: 33524462]
[29]
Goodday SM, Karlin E, Alfarano A, et al. An alternative to the ‘light touch’ digital health remote study: The Stress and Recovery in Frontline COVID-19 Healthcare Workers Study. JMIR Form Res 2021; 5(12): e32165.
[http://dx.doi.org/10.2196/32165] [PMID: 34726607]
[30]
d’Ettorre G, Ceccarelli G, Marazzato M, et al. Challenges in the management of SARS-CoV2 infection: The role of oral bacteriotherapy as complementary therapeutic strategy to avoid the progression of COVID-19. Front Med 2020; 7: 389.
[http://dx.doi.org/10.3389/fmed.2020.00389] [PMID: 32733907]
[31]
Clinical Trial. CoronaWatch - Early detection of cardiovascular risks in COVID-19 via smartwatch (CoronaWatch). NCT04376853 2022.
[32]
Clinical Trial. Artificial intelligence algorithms for discriminating between COVID-19 and influenza pneumonitis using chest X-Rays (AI-COVID-Xr). NCT04313946, 2020 .
[33]
Clinical Trial. COVID-19 Survival - The COVIVA Study (COVIVA). NCT04366765, 2021.
[34]
Clinical Trial. Detection of SARS-CoV-2 (COVID-19) by SERS spectroscopy combined with artificial intelligence (Kaïssa Covid). NCT04786197, 2021.
[35]
Clinical Trial. Covid-19 triage using camera-based AI. NCT04383457, 2020.
[36]
Clinical Trial. Efficacy of a self-test and self-alert mobile applet in detecting susceptible infection of COVID-19 (COVID-19). NCT04256395, 2020.
[37]
Vaishya R, Javaid M, Khan IH, Haleem A. Artificial Intelligence (AI) applications for COVID-19 pandemic. Diabetes Metab Syndr 2020; 14(4): 337-9.
[http://dx.doi.org/10.1016/j.dsx.2020.04.012] [PMID: 32305024]
[38]
Gupta D, Bhatt S, Gupta M, Tosun AS. Future smart connected communities to fight COVID-19 outbreak. Internet Things 2021; 13: 100342.
[http://dx.doi.org/10.1016/j.iot.2020.100342]
[39]
Khan M, Mehran MT, Haq ZU, et al. Applications of artificial intelligence in COVID-19 pandemic: A comprehensive review. Expert Syst Appl 2021; 185: 115695.
[http://dx.doi.org/10.1016/j.eswa.2021.115695] [PMID: 34400854]
[40]
Karki N, Verma N, Trozzi F, Tao P, Kraka E, Zoltowski B. Predicting potential SARS-COV-2 drugs-in depth drug database screening using deep neural network framework SSnet, classical virtual screening and Docking. Int J Mol Sci 2021; 22(4): 1573.
[http://dx.doi.org/10.3390/ijms22041573] [PMID: 33557253]
[41]
Keshavarzi Arshadi A, Webb J, Salem M, et al. Artificial intelligence for COVID-19 drug discovery and vaccine development. Front Artificial Intell 2020; 3: 65.
[http://dx.doi.org/10.3389/frai.2020.00065] [PMID: 33733182]

Rights & Permissions Print Cite
Article Metrics
12
2
Wayfinder Image
Open Access Journals Promotions
World Pneumonia Day
© 2024 Bentham Science Publishers | Privacy Policy