Role of Artificial Intelligence in COVID-19 Detection
Article
Article Title | Role of Artificial Intelligence in COVID-19 Detection |
---|---|
ERA Journal ID | 34304 |
Article Category | Article |
Authors | Gudigar, Anjan, Raghavendra, U., Nayak, Sneha, Ooi, Chui Ping, Chan, Wai Yee, Gangavarapu, Mokshagna Rohit, Dharmik, Chinmay, Samanth, Jyothi, Kadri, Nahrizul Adib, Hasikin, Khairunnisa, Barua, Prabal Datta, Chakraborty, Subrata, Ciaccio, Edward J. and Acharya, U. Rajendra |
Journal Title | Sensors |
Journal Citation | 21 (23) |
Article Number | 8045 |
Number of Pages | 39 |
Year | 2021 |
Publisher | MDPI AG |
Place of Publication | Switzerland |
ISSN | 1424-8220 |
1424-8239 | |
Digital Object Identifier (DOI) | https://doi.org/10.3390/s21238045 |
Web Address (URL) | https://www.mdpi.com/1424-8220/21/23/8045 |
Abstract | The global pandemic of coronavirus disease (COVID‐19) has caused millions of deaths and affected the livelihood of many more people. Early and rapid detection of COVID‐19 is a challenging task for the medical community, but it is also crucial in stopping the spread of the SARS‐ CoV‐2 virus. Prior substantiation of artificial intelligence (AI) in various fields of science has encouraged researchers to further address this problem. Various medical imaging modalities including X‐ray, computed tomography (CT) and ultrasound (US) using AI techniques have greatly helped to curb the COVID‐19 outbreak by assisting with early diagnosis. We carried out a systematic review on state‐of‐the‐art AI techniques applied with X‐ray, CT, and US images to detect COVID‐19. In this paper, we discuss approaches used by various authors and the significance of these research efforts, the potential challenges, and future trends related to the implementation of an AI system for disease detection during the COVID‐19 pandemic. |
Keywords | Artificial intelligence; Computer‐aided diagnostic tool; Deep neural networks; Hand-crafted feature learning; Supervised learning |
Contains Sensitive Content | Does not contain sensitive content |
ANZSRC Field of Research 2020 | 400306. Computational physiology |
Funder | Ministry of Higher Education, Malaysia |
Byline Affiliations | Ngee Ann Polytechnic, Singapore |
Asia University, Taiwan | |
Kumamoto University, Japan | |
Manipal Academy of Higher Education, India | |
Singapore University of Social Sciences (SUSS), Singapore | |
University of Malaya, Malaysia | |
Cogninet Australia, Australia | |
School of Business | |
University of Technology Sydney | |
University of New England | |
Columbia University Irving Medical Center, United States |
https://research.usq.edu.au/item/yyw51/role-of-artificial-intelligence-in-covid-19-detection
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