Since January 2020, coronavirus disease 2019 (COVID-19) has rapidly become a global concern, and its cardiovascular manifestations have highlighted the need for fast, sensitive and specific tools for early identification and risk stratification. Machine learning is a software solution with the ability to analyze large amounts of data and make predictions without prior programming. When faced with new problems with unique challenges as evident in the COVID-19 pandemic, machine learning can offer solutions that are not apparent on the surface by sifting quickly through massive quantities of data and making associations that may have been missed. Artificial intelligence is a broad term that encompasses different tools, including various types of machine learning and deep learning. Here, we review several cardiovascular applications of machine learning and artificial intelligence and their potential applications to cardiovascular diagnosis, prognosis, and therapy in COVID-19 infection.
Cite this article
Volume | Year
Open Access Review
Usefulness of machine learning in COVID-19 for the detection and prognosis of cardiovascular complications
1 Division of Cardiology, Rush University Medical Center, Chicago, IL 60612, USA
*Correspondence: firstname.lastname@example.org (Dinesh K. Kalra)
Rev. Cardiovasc. Med. 2020, 21(3), 345–352; https://doi.org/10.31083/j.rcm.2020.03.120
Submitted: 28 June 2020 | Revised: 6 September 2020 | Accepted: 8 September 2020 | Published: 30 September 2020
(This article belongs to the Special Issue Utilizing Technology in the COVID 19 era)
Copyright: © 2020 Zimmerman and Kalra Published by IMR Press.
This is an open access article under the CC BY 4.0 license (https://creativecommons.org/licenses/by/4.0/).