Artificial intelligence for predicting adherence to CPAP therapy in obstructive sleep apnoea: A systematic review.

Casal-Guisande M, Bouza-Rodríguez JB, Mosteiro-Añón M, Comesaña-Campos A, Fernández-Villar A, Torres-Durán M

DOI: 10.1177/20552076261478206
Published: 2026 Jan-Dec
Container: Digital health
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1177/20552076261478206,
  title = {Artificial intelligence for predicting adherence to CPAP therapy in obstructive sleep apnoea: A systematic review.},
  author = {Casal-Guisande M and Bouza-Rodríguez JB and Mosteiro-Añón M and Comesaña-Campos A and Fernández-Villar A and Torres-Durán M},
  year = {2026},
  journal = {Digital health},
  doi = {10.1177/20552076261478206},
  url = {https://doi.org/10.1177/20552076261478206}
}

RIS

TY  - JOUR
TI  - Artificial intelligence for predicting adherence to CPAP therapy in obstructive sleep apnoea: A systematic review.
AU  - Casal-Guisande M
AU  - Bouza-Rodríguez JB
AU  - Mosteiro-Añón M
AU  - Comesaña-Campos A
AU  - Fernández-Villar A
AU  - Torres-Durán M
PY  - 2026
JO  - Digital health
DO  - 10.1177/20552076261478206
UR  - https://doi.org/10.1177/20552076261478206
ER  -

APA

M, C., JB, B., M, M., A, C., A, F., & M, T. (2026). Artificial intelligence for predicting adherence to CPAP therapy in obstructive sleep apnoea: A systematic review.. Digital health. https://doi.org/10.1177/20552076261478206

Source records

pubmed · retrieved 2026-09-25T23:49:02.458Z