Version 1
: Received: 12 June 2020 / Approved: 14 June 2020 / Online: 14 June 2020 (03:34:22 CEST)
How to cite:
Hossain, M.M.; Sarwar, S.A.; McKyer, E.L.J.; Ma, P. Applications of Artificial Intelligence Technologies in COVID-19 Research: A Bibliometric Study. Preprints2020, 2020060161. https://doi.org/10.20944/preprints202006.0161.v1
Hossain, M.M.; Sarwar, S.A.; McKyer, E.L.J.; Ma, P. Applications of Artificial Intelligence Technologies in COVID-19 Research: A Bibliometric Study. Preprints 2020, 2020060161. https://doi.org/10.20944/preprints202006.0161.v1
Hossain, M.M.; Sarwar, S.A.; McKyer, E.L.J.; Ma, P. Applications of Artificial Intelligence Technologies in COVID-19 Research: A Bibliometric Study. Preprints2020, 2020060161. https://doi.org/10.20944/preprints202006.0161.v1
APA Style
Hossain, M.M., Sarwar, S.A., McKyer, E.L.J., & Ma, P. (2020). Applications of Artificial Intelligence Technologies in COVID-19 Research: A Bibliometric Study. Preprints. https://doi.org/10.20944/preprints202006.0161.v1
Chicago/Turabian Style
Hossain, M.M., E. Lisako J. McKyer and Ping Ma. 2020 "Applications of Artificial Intelligence Technologies in COVID-19 Research: A Bibliometric Study" Preprints. https://doi.org/10.20944/preprints202006.0161.v1
Abstract
The novel coronavirus disease (COVID-19) pandemic has impacted health and wellbeing globally. To strengthen preventive and clinical care amid this pandemic, technological innovations like artificial intelligence (AI) are increasingly used in different contexts. This bibliometric study aimed to assess the current scholarly development and prominent research domains in applications of AI technologies in COVID-19 research. A total of 105 articles were retrieved from MEDLINE database that emphasized on the use of AI in the context of COVID-19. Most articles had multiple authors with a collaboration index of 7.18. Moreover, most of the articles were produced from the USA (22.86%) and China (21.9%), whereas developing countries were underrepresented among the contributing nations. Furthermore, several research domains were identified, including prevention and control, diagnostics, epidemiological characteristics, therapeutics, psychological conditions, and different areas of data sciences related to COVID-19. The current bibliometric evidence shows the early stage of development in this field, which necessitates equitable applications of AI in COVID-19 research emphasizing on health disparities, socio-legal issues, vaccine development, and applied public health research in this pandemic.
Keywords
COVID-19; Coronavirus; Artificial intelligence; Machine learning; Data mining
Subject
Medicine and Pharmacology, Epidemiology and Infectious Diseases
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
