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

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About: AI4COVID-19: AI enabled preliminary diagnosis for COVID-19 from cough samples via an app Goto Sponge NotDistinct Permalink

An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	AI4COVID-19: AI enabled preliminary diagnosis for COVID-19 from cough samples via an app
Creator	Hussain, Iftikhar Ali, Kamran Imran, Ali John, Charles Masood, Usama Nabeel, Muhammad Posokhova, Iryna Qureshi, Haneya Riaz, Sajid
Source	Elsevier; Medline; PMC
abstract	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 compared to other respiratory infections. To overcome the COVID-19 cough training data shortage we exploit transfer learning. To reduce the misdiagnosis risk stemming from the complex dimensionality of the problem, we leverage a multi-pronged mediator centered risk-averse AI architecture. RESULTS: 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.
has issue date	2020-06-26(xsd:dateTime)
bibo:doi	10.1016/j.imu.2020.100378
bibo:pmid	32839734
has license	no-cc
sha1sum (hex)	faaf9805dba17b34118aea47157e74b7826c437b
schema:url	https://doi.org/10.1016/j.imu.2020.100378
resource representing a document's title	AI4COVID-19: AI enabled preliminary diagnosis for COVID-19 from cough samples via an app
has PubMed Central identifier	PMC7318970
has PubMed identifier	32839734
schema:publication	Inform Med Unlocked
resource representing a document's body	covid:faaf9805dba17b34118aea47157e74b7826c437b#body_text
is schema:about of	named entity 'respiratory diseases' named entity 'infection' named entity 'running in the cloud' named entity 'screening tool' named entity 'Cough' named entity 'cough' named entity 'bronchitis' named entity 'COVID-19' named entity 'coughing' named entity 'COVID-19' named entity 'pneumonia' named entity 'bronchiolitis' named entity 'COVID-19' named entity 'medical conditions' named entity 'convolutional layer' named entity 'cough' named entity 'health care' named entity 'nonlinear dimensionality reduction' named entity 'proof of concept' named entity 'confusion matrix' named entity 'inflammatory' named entity 'cough' named entity 'Figure 8' named entity 'mobile app' named entity 'CNN' named entity 'cross validation' named entity 'COVID-19' named entity 'cough' named entity '95% confidence interval' named entity 'machine learning' named entity 'respiratory diseases' named entity 'virus' named entity 'cough' named entity 'COVID-19' named entity 'cough' named entity 'medical diagnoses' named entity 'medical conditions' named entity 'cough' named entity 'COVID-19 disease' named entity 'lung' named entity 'X-rays' named entity 'COVID-19' named entity 'cough' named entity 'COVID-19' named entity 'fever' named entity 'cough' named entity 'cough' named entity 'COVID-19' named entity 'fibroblast' named entity 'influenza' named entity 'clinical testing' named entity 'cough' named entity 'flow chart' named entity 'false negative results' named entity 'respiratory conditions' named entity 'autopsy' named entity 'respiratory diseases' named entity 'edge device' named entity 'cough' named entity 'cough' named entity 'cough' named entity 'cough' named entity 'COVID-19' named entity 'COVID-19' named entity 'symptom' named entity 'self-isolate' named entity 'COVID-19' named entity 'PCR' named entity 'COVID-19' named entity 'reverse halo sign' named entity 'fever' named entity 'China' named entity 'cough'

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