Role of artificial intelligence in COVID-19 detection
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 sub...
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my.um.eprints.345092022-09-14T04:37:34Z http://eprints.um.edu.my/34509/ Role of artificial intelligence in COVID-19 detection Gudigar, Anjan Raghavendra, Udupi 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. Acharya, U. Rajendra QA75 Electronic computers. Computer science R Medicine Medical technology 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. MDPI 2021-12 Article PeerReviewed Gudigar, Anjan and Raghavendra, Udupi and Nayak, Sneha and Ooi, Chui Ping and Chan, Wai Yee and Gangavarapu, Mokshagna Rohit and Dharmik, Chinmay and Samanth, Jyothi and Kadri, Nahrizul Adib and Hasikin, Khairunnisa and Barua, Prabal Datta and Chakraborty, Subrata and Ciaccio, Edward J. and Acharya, U. Rajendra (2021) Role of artificial intelligence in COVID-19 detection. Sensors, 21 (23). ISSN 1424-8220, DOI https://doi.org/10.3390/s21238045 <https://doi.org/10.3390/s21238045>. 10.3390/s21238045 |
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QA75 Electronic computers. Computer science R Medicine Medical technology |
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QA75 Electronic computers. Computer science R Medicine Medical technology Gudigar, Anjan Raghavendra, Udupi 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. Acharya, U. Rajendra Role of artificial intelligence in COVID-19 detection |
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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. |
| format |
Article |
| author |
Gudigar, Anjan Raghavendra, Udupi 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. Acharya, U. Rajendra |
| author_facet |
Gudigar, Anjan Raghavendra, Udupi 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. Acharya, U. Rajendra |
| author_sort |
Gudigar, Anjan |
| title |
Role of artificial intelligence in COVID-19 detection |
| title_short |
Role of artificial intelligence in COVID-19 detection |
| title_full |
Role of artificial intelligence in COVID-19 detection |
| title_fullStr |
Role of artificial intelligence in COVID-19 detection |
| title_full_unstemmed |
Role of artificial intelligence in COVID-19 detection |
| title_sort |
role of artificial intelligence in covid-19 detection |
| publisher |
MDPI |
| publishDate |
2021 |
| url |
http://eprints.um.edu.my/34509/ |
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1744649183764152320 |
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13.211869 |