Making cough count in tuberculosis care.
Diagnostic markers
Prognostic markers
Tuberculosis
Journal
Communications medicine
ISSN: 2730-664X
Titre abrégé: Commun Med (Lond)
Pays: England
ID NLM: 9918250414506676
Informations de publication
Date de publication:
2022
2022
Historique:
received:
15
09
2021
accepted:
21
06
2022
entrez:
11
7
2022
pubmed:
12
7
2022
medline:
12
7
2022
Statut:
epublish
Résumé
Cough assessment is central to the clinical management of respiratory diseases, including tuberculosis (TB), but strategies to objectively and unobtrusively measure cough are lacking. Acoustic epidemiology is an emerging field that uses technology to detect cough sounds and analyze cough patterns to improve health outcomes among people with respiratory conditions linked to cough. This field is increasingly exploring the potential of artificial intelligence (AI) for more advanced applications, such as analyzing cough sounds as a biomarker for disease screening. While much of the data are preliminary, objective cough assessment could potentially transform disease control programs, including TB, and support individual patient management. Here, we present an overview of recent advances in this field and describe how cough assessment, if validated, could support public health programs at various stages of the TB care cascade.
Identifiants
pubmed: 35814294
doi: 10.1038/s43856-022-00149-w
pii: 149
pmc: PMC9258463
doi:
Types de publication
Journal Article
Review
Langues
eng
Pagination
83Informations de copyright
© The Author(s) 2022.
Déclaration de conflit d'intérêts
Competing interestsThe authors declare no competing interests.
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