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Artificial Intelligence for COVID-19: A Systematic Review.

Lian Wang1, Yonggang Zhang2,3, Dongguang Wang1

  • 1Department of Respiratory and Critical Care Medicine, West China Hospital/West China School of Medicine, Sichuan University, Chengdu, China.

Frontiers in Medicine
|October 18, 2021
PubMed
Summary
This summary is machine-generated.

Artificial Intelligence (AI) shows high performance in diagnosing COVID-19, predicting patient outcomes, and forecasting epidemic trends. AI also accelerates the discovery of effective drugs and vaccines for the pandemic.

Keywords:
COVID-19artificial intelligencediagnosisdrug discovery 2epidemic predictionprognosis evaluation

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Area of Science:

  • Medical Informatics
  • Computational Biology
  • Epidemiology

Background:

  • Coronavirus Disease 2019 (COVID-19), caused by SARS-CoV-2, has led to significant global losses.
  • This systematic review examines the application of Artificial Intelligence (AI) in addressing various aspects of the COVID-19 pandemic.
  • The review discusses AI's role in diagnosis, epidemic trend estimation, prognosis, and drug/vaccine development, alongside potential limitations.

Approach:

  • Systematic review conducted following PRISMA guidelines.
  • Searched PubMed, Embase, and Cochrane Library for studies on AI applications in COVID-19 up to September 19, 2020.
  • Assessed literature quality for diagnosis and prognosis using PROBAST tool; protocol registered on PROSPERO.

Key Points:

  • AI-assisted COVID-19 diagnosis demonstrated high accuracy (70.00–99.92%), sensitivity (73.00–100.00%), specificity (25–100.00%), and AUC (0.732–1.000).
  • AI models accurately predicted prognosis using clinical characteristics, with accuracy ranging from 74.4% to 95.20%.
  • AI was utilized for epidemic prediction (peak, infection rates, trends), drug discovery (repurposing, development), and vaccine target identification.

Conclusions:

  • AI exhibits high performance in COVID-19 diagnosis, prognosis evaluation, epidemic prediction, and drug discovery.
  • AI has the potential to significantly enhance the efficiency of medical and healthcare systems during the COVID-19 pandemic.
  • Further integration of AI can improve pandemic response and management strategies.