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Year : 2020  |  Volume : 8  |  Issue : 4  |  Page : 146-147

Artificial intelligence in COVID-19 ultrastructure

1 Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA; Department of Cardiology, Faculty of Medicine, Suez Canal University, Ismailia, Egypt
2 Department of Histology and Cell Biology, Faculty of Medicine, Suez Canal University, Ismailia, Egypt

Correspondence Address:
Dr. Mohamed Y Elwazir
Department of Cardiovascular Medicine, Mayo Clinic College of Medicine, 200 First Street SW, Rochester, MN 55905, USA

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Source of Support: None, Conflict of Interest: None

DOI: 10.4103/JMAU.JMAU_28_20

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Artificial intelligence has found its way into numerous fields of medicine in the past decade, spurred by the availability of big data and powerful processors. For the COVID-19 pandemic, aside from predicting its onset, artificial intelligence has been used to track disease spread, detect pulmonary involvement in computed tomography scans, risk-stratify patients, and model virtual protein structure and potential therapeutic agents. This mini-review briefly discusses the potential applications of artificial intelligence in COVID-19 microscopy.

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