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Artificial Intelligence in COVID-19 Ultrastructure.

Mohamed Y Elwazir1,2, Somaya Hosny3

  • 1Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA.

Journal of Microscopy and Ultrastructure
|February 24, 2021
PubMed
Summary
This summary is machine-generated.

Artificial intelligence (AI) aids in COVID-19 research, from tracking spread to identifying treatments. This review explores AI's potential role in COVID-19 microscopy applications.

Keywords:
Artificial intelligenceCOVID-19computer visionmachine learning

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Area of Science:

  • Medical Informatics
  • Computational Biology
  • Infectious Disease Research

Background:

  • Artificial intelligence (AI) has become integral to medical advancements.
  • The COVID-19 pandemic accelerated AI adoption in various medical applications.
  • AI tools have been used for disease tracking, patient risk stratification, and drug discovery.

Purpose of the Study:

  • To review the potential applications of artificial intelligence in COVID-19 microscopy.
  • To highlight how AI can enhance the analysis of microscopic data related to SARS-CoV-2.

Main Methods:

  • Literature review of AI applications in COVID-19 research.
  • Focus on AI's role in analyzing microscopic images and data relevant to COVID-19.

Main Results:

  • AI has demonstrated utility in predicting disease onset and spread.
  • AI assists in detecting lung abnormalities on CT scans and modeling protein structures.
  • Potential exists for AI to analyze microscopic findings associated with COVID-19.

Conclusions:

  • AI offers promising avenues for advancing COVID-19 research through microscopy.
  • Further development of AI tools can improve diagnostic and therapeutic strategies for COVID-19.