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Towards a tricorder for diagnosing paediatric conditions.
- Source :
-
Lancet . Sep2019, Vol. 394 Issue 10202, p907-907. 1p. - Publication Year :
- 2019
-
Abstract
- Paediatric patients introduce a unique challenge for health care: information about symptoms in infants and children is usually obtained second-hand from the parents. AI classification of cough sounds using the unique sound signatures of a child's smartphone-recorded coughs and parent-reported symptoms are under investigation as a potential diagnostic tool for paediatric respiratory conditions. In a prospective study, the AI-based system showed agreement with a consensus clinical diagnosis that took into account hospital chart review and radiology data. [Extracted from the article]
Details
- Language :
- English
- ISSN :
- 01406736
- Volume :
- 394
- Issue :
- 10202
- Database :
- Academic Search Index
- Journal :
- Lancet
- Publication Type :
- Academic Journal
- Accession number :
- 138652339
- Full Text :
- https://doi.org/10.1016/S0140-6736(19)32087-2