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Towards a tricorder for diagnosing paediatric conditions.

Authors :
Chan, Justin
Raju, Sharat C
Topol, Eric
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