Challenges of Applying Automated Polysomnography Scoring at Scale.

Humans Polysomnography Artificial Intelligence Sleep Sleep Wake Disorders / diagnosis Sleep Stages
Artificial intelligence Automatic analysis Performance assessment Polysomnography Scalability challenges

Journal

Sleep medicine clinics
ISSN: 1556-4088
Titre abrégé: Sleep Med Clin
Pays: United States
ID NLM: 101271531

Informations de publication

Date de publication:
Sep 2023
Historique:
medline: 4 8 2023
pubmed: 3 8 2023
entrez: 2 8 2023
Statut: ppublish

Résumé

Automatic polysomnography analysis can be leveraged to shorten scoring times, reduce associated costs, and ultimately improve the overall diagnosis of sleep disorders. Multiple and diverse strategies have been attempted for implementation of this technology at scale in the routine workflow of sleep centers. The field, however, is complex and presents unsolved challenges in a number of areas. Recent developments in computer science and artificial intelligence are nevertheless closing the gap. Technological advances are also opening new pathways for expanding our current understanding of the domain and its analysis.

Identifiants

DOI: 10.1016/j.jsmc.2023.05.002 PMID: 37532369
pubmed: 37532369
pii: S1556-407X(23)00035-8
doi: 10.1016/j.jsmc.2023.05.002
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

277-292

Informations de copyright

Copyright © 2023 Elsevier Inc. All rights reserved.

Auteurs

Diego Alvarez-Estevez (D)

Center for Information and Communications Technology Research (CITIC), Universidade da Coruña, 15071 A Coruña, Spain. Electronic address: diego.alvareze@udc.es.

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Classifications MeSH

questionsmedicales.fr › Eucaryotes › Animaux › Chordés › Vertébrés › Mammifères › Eutheria › Primates › Haplorhini › Catarrhini › Hominidae › Humains › Challenges of Applying Automated...
questionsmedicales.fr › Diagnostic › Techniques et procédures diagnostiques › Monitorage physiologique › Polysomnographie › Challenges of Applying Automated...
questionsmedicales.fr › Sciences de l'information › Méthodologies informatiques › Algorithmes › Intelligence artificielle › Challenges of Applying Automated...
questionsmedicales.fr › Phénomènes physiologiques de l'appareil locomoteur et du système nerveux › Phénomènes physiologiques du système nerveux › Sommeil › Challenges of Applying Automated...
questionsmedicales.fr › Troubles mentaux › Troubles de la veille et du sommeil › Challenges of Applying Automated...
questionsmedicales.fr › Phénomènes physiologiques de l'appareil locomoteur et du système nerveux › Phénomènes physiologiques du système nerveux › Sommeil › Phases du sommeil › Challenges of Applying Automated...