AI4COVID-19: AI enabled preliminary diagnosis for COVID-19 from cough samples via an app

2020476 citationsJournal Articlegold Open Access

Authors

Ali Imran · RealNetworks (United States)

Iryna Posokhova · Kharkiv National Medical University

Haneya N. Qureshi · University of Oklahoma

Usama Masood · University of Oklahoma

Muhammad Sajid Riaz · RealNetworks (United States)

Kamran Ali · Michigan State University

Charles N. John · RealNetworks (United States)

MD Iftikhar Hussain

Abstract

Results show AI4COVID-19 can distinguish among COVID-19 coughs and several types of non-COVID-19 coughs. The accuracy is promising enough to encourage a large-scale collection of labeled cough data to gauge the generalization capability of AI4COVID-19. AI4COVID-19 is not a clinical grade testing tool. Instead, it offers a screening tool deployable anytime, anywhere, by anyone. It can also be a clinical decision assistance tool used to channel clinical-testing and treatment to those who need it the most, thereby saving more lives.

Topics & Keywords

COVID-19 diagnosis using AI Respiratory and Cough-Related Research Pneumonia and Respiratory Infections

Publication Details

Published in: Informatics in Medicine Unlocked

Volume 20, pp. 100378-100378

DOI: 10.1016/j.imu.2020.100378

Field-Weighted Citation Impact: 42.97

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AI4COVID-19: AI enabled preliminary diagnosis for COVID-19 from cough samples via an app

Authors

Abstract

Topics & Keywords

Publication Details