TY - JOUR
T1 - Artificial intelligence technology for diagnosing COVID-19 cases
T2 - A review of substantial issues
AU - Alsharif, M. H.
AU - Alsharif, Y. H.
AU - Chaudhry, S. A.
AU - Albreem, M. A.
AU - Jahid, A.
AU - Hwang, E.
N1 - Funding Information:
This research was supported by a grant of the Korea Health Technology R&D Project through the Korea Health Industry Development Institute (KHIDI), funded by the Ministry of Health & Welfare, Republic of Korea (HG19C0682).
Publisher Copyright:
© 2020 Verduci Editore s.r.l. All rights reserved.
PY - 2020
Y1 - 2020
N2 - Today, the world suffers from the rapid spread of COVID-19, which has claimed thousands of lives. Unfortunately, its treatment is yet to be developed. Nevertheless, this phenomenon can be decelerated by diagnosing and quarantining patients with COVID-19 at early stages, thereby saving numerous lives. In this study, the early diagnosis of this disease through artificial intelligence (AI) technology is explored. AI is a revolutionizing technology that drives new research opportunities in various fields. Although this study does not provide a final solution, it highlights the most promising lines of research on AI technology for the diagnosis of COVID-19. The major contribution of this work is a discussion on the following substantial issues of AI technology for preventing the severe effects of COVID-19: (1) rapid diagnosis and detection, (2) outbreak and prediction of virus spread, and (3) potential treatments. This study profoundly investigates these controversial research topics to achieve a precise, concrete, and concise conclusion. Thus, this study provides significant recommendations on future research directions related to COVID-19.
AB - Today, the world suffers from the rapid spread of COVID-19, which has claimed thousands of lives. Unfortunately, its treatment is yet to be developed. Nevertheless, this phenomenon can be decelerated by diagnosing and quarantining patients with COVID-19 at early stages, thereby saving numerous lives. In this study, the early diagnosis of this disease through artificial intelligence (AI) technology is explored. AI is a revolutionizing technology that drives new research opportunities in various fields. Although this study does not provide a final solution, it highlights the most promising lines of research on AI technology for the diagnosis of COVID-19. The major contribution of this work is a discussion on the following substantial issues of AI technology for preventing the severe effects of COVID-19: (1) rapid diagnosis and detection, (2) outbreak and prediction of virus spread, and (3) potential treatments. This study profoundly investigates these controversial research topics to achieve a precise, concrete, and concise conclusion. Thus, this study provides significant recommendations on future research directions related to COVID-19.
KW - AI
KW - Artificial intelligence
KW - Big data
KW - COVID-19
KW - Coronavirus pandemic
KW - Machine learning
UR - http://www.scopus.com/inward/record.url?scp=85091587499&partnerID=8YFLogxK
U2 - 10.26355/eurrev_202009_22875
DO - 10.26355/eurrev_202009_22875
M3 - Review article
C2 - 32965018
AN - SCOPUS:85091587499
SN - 1128-3602
VL - 24
SP - 9226
EP - 9233
JO - European Review for Medical and Pharmacological Sciences
JF - European Review for Medical and Pharmacological Sciences
IS - 17
ER -