Application of Artificial Intelligence in COVID-19 Diagnosis and Therapeutics

被引:18
作者
Asada, Ken [1 ,2 ]
Komatsu, Masaaki [1 ,2 ]
Shimoyama, Ryo [1 ,2 ]
Takasawa, Ken [1 ,2 ]
Shinkai, Norio [1 ,2 ,3 ]
Sakai, Akira [2 ,3 ]
Bolatkan, Amina [1 ,2 ]
Yamada, Masayoshi [2 ,4 ]
Takahashi, Satoshi [1 ,2 ]
Machino, Hidenori [1 ,2 ]
Kobayashi, Kazuma [1 ,2 ]
Kaneko, Syuzo [1 ,2 ]
Hamamoto, Ryuji [1 ,2 ,3 ]
机构
[1] RIKEN, Canc Translat Res Team, Ctr Adv Intelligence Project, Chuo Ku, 1-4-1 Nihonbashi, Tokyo 1030027, Japan
[2] Natl Canc Ctr, Div Med AI Res & Dev, Chuo Ku, 5-1-1 Tsukiji, Tokyo 1040045, Japan
[3] Tokyo Med & Dent Univ, Grad Sch Med & Dent Sci, Dept NCC Canc Sci, Bunkyo Ku, 1-5-45 Yushima, Tokyo 1138510, Japan
[4] Natl Canc Ctr, Dept Endoscopy, Chuo Ku, 5-1-1 Tsukiji, Tokyo 1040045, Japan
来源
JOURNAL OF PERSONALIZED MEDICINE | 2021年 / 11卷 / 09期
关键词
COVID-19; artificial intelligence; diagnosis; therapeutics; public health; MODEL; ULTRASOUND; OUTBREAK;
D O I
10.3390/jpm11090886
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
The coronavirus disease 2019 (COVID-19) pandemic began at the end of December 2019, giving rise to a high rate of infections and causing COVID-19-associated deaths worldwide. It was first reported in Wuhan, China, and since then, not only global leaders, organizations, and pharmaceutical/biotech companies, but also researchers, have directed their efforts toward overcoming this threat. The use of artificial intelligence (AI) has recently surged internationally and has been applied to diverse aspects of many problems. The benefits of using AI are now widely accepted, and many studies have shown great success in medical research on tasks, such as the classification, detection, and prediction of disease, or even patient outcome. In fact, AI technology has been actively employed in various ways in COVID-19 research, and several clinical applications of AI-equipped medical devices for the diagnosis of COVID-19 have already been reported. Hence, in this review, we summarize the latest studies that focus on medical imaging analysis, drug discovery, and therapeutics such as vaccine development and public health decision-making using AI. This survey clarifies the advantages of using AI in the fight against COVID-19 and provides future directions for tackling the COVID-19 pandemic using AI techniques.
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页数:17
相关论文
共 145 条
  • [91] A computational approach to aid clinicians in selecting anti-viral drugs for COVID-19 trials
    Mongia, Aanchal
    Saha, Sanjay Kr.
    Chouzenoux, Emilie
    Majumdar, Angshul
    [J]. SCIENTIFIC REPORTS, 2021, 11 (01) : 9047
  • [92] How decision makers can use quantitative approaches to guide outbreak responses
    Morgan, Oliver
    [J]. PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES, 2019, 374 (1776)
  • [93] Discovery of SARS-CoV-2 main protease inhibitors using a synthesis-directed de novo design model
    Morris, Aaron
    McCorkindale, William
    Drayman, Nir
    Chodera, John D.
    Tay, Savas
    London, Nir
    Lee, Alpha A.
    [J]. CHEMICAL COMMUNICATIONS, 2021, 57 (48) : 5909 - 5912
  • [94] COVID-19 Threat to the World: Current and Possible Diagnostic/Treatment Strategies
    Mughees M.
    Chugh H.
    Naqvi S.H.
    Wajid S.
    [J]. Critical Reviews in Biomedical Engineering, 2021, 49 (01) : 21 - 33
  • [95] Deep Learning COVID-19 Features on CXR Using Limited Training Data Sets
    Oh, Yujin
    Park, Sangjoon
    Ye, Jong Chul
    [J]. IEEE TRANSACTIONS ON MEDICAL IMAGING, 2020, 39 (08) : 2688 - 2700
  • [96] Our World in Data, COR COVID 19 VACC
  • [97] Pei JF, 2013, IEEE INT C BIOINFORM
  • [98] Pooch E, 2020, Can we trust deep learning based diagnosis? The impact of domain shift in chest radiograph classification
  • [99] Pramono RXA, 2019, IEEE ENG MED BIO, P7153, DOI [10.1109/embc.2019.8857792, 10.1109/EMBC.2019.8857792]
  • [100] Qiu Jane, 2020, Nature, DOI 10.1038/d41586-020-00822-x