Accuracy of artificial intelligence-based prediction of moderate-to-severe obstructive sleep apnea using audio signals: A systematic review.

Pillion M, Kim P, Larsson M, Jorge E, Orwa J, Gradisar M

DOI: 10.1016/j.smrv.2026.102357
Published: 2026 Aug 23
Container: Sleep medicine reviews
Publisher: Not recorded
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1016/j.smrv.2026.102357,
  title = {Accuracy of artificial intelligence-based prediction of moderate-to-severe obstructive sleep apnea using audio signals: A systematic review.},
  author = {Pillion M and Kim P and Larsson M and Jorge E and Orwa J and Gradisar M},
  year = {2026},
  journal = {Sleep medicine reviews},
  doi = {10.1016/j.smrv.2026.102357},
  url = {https://doi.org/10.1016/j.smrv.2026.102357}
}

RIS

TY  - JOUR
TI  - Accuracy of artificial intelligence-based prediction of moderate-to-severe obstructive sleep apnea using audio signals: A systematic review.
AU  - Pillion M
AU  - Kim P
AU  - Larsson M
AU  - Jorge E
AU  - Orwa J
AU  - Gradisar M
PY  - 2026
JO  - Sleep medicine reviews
DO  - 10.1016/j.smrv.2026.102357
UR  - https://doi.org/10.1016/j.smrv.2026.102357
ER  -

APA

M, P., P, K., M, L., E, J., J, O., & M, G. (2026). Accuracy of artificial intelligence-based prediction of moderate-to-severe obstructive sleep apnea using audio signals: A systematic review.. Sleep medicine reviews. https://doi.org/10.1016/j.smrv.2026.102357

Source records

pubmed · retrieved 2026-09-26T01:05:34.360Z