作者
Ali Imran, Iryna Posokhova, Haneya N Qureshi, Usama Masood, Muhammad Sajid Riaz, Kamran Ali, Charles N John, MD Iftikhar Hussain, Muhammad Nabeel
发表日期
2020/1/1
期刊
Informatics in Medicine Unlocked
卷号
20
页码范围
100378
出版商
Elsevier
简介
Background
The inability to test at scale has become humanity's Achille's heel in the ongoing war against the COVID-19 pandemic. A scalable screening tool would be a game changer. Building on the prior work on cough-based diagnosis of respiratory diseases, we propose, develop and test an Artificial Intelligence (AI)-powered screening solution for COVID-19 infection that is deployable via a smartphone app. The app, named AI4COVID-19 records and sends three 3-s cough sounds to an AI engine running in the cloud, and returns a result within 2 min.
Methods
Cough is a symptom of over thirty non-COVID-19 related medical conditions. This makes the diagnosis of a COVID-19 infection by cough alone an extremely challenging multidisciplinary problem. We address this problem by investigating the distinctness of pathomorphological alterations in the respiratory system induced by COVID-19 infection when …
引用总数
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A Imran, I Posokhova, HN Qureshi, U Masood, S Riaz… - arXiv preprint arXiv:2004.01275
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