Comparing polysomnography auto scoring with the standard of care in sleep medicine
There appears to be a marked variation in the accuracy of various sleep parameters by automated sleep recording. Further studies that utilize advance machine learning algorithms can help better understanding of the role of automated sleep scoring in screening and diagnosis of sleep disorders.
Authors
- Faris Alhejaili (ORCID: https://orcid.org/0000-0002-0100-6063)
Institutions
- King Abdulaziz University (SA)
Publication Details
- Journal
- Annals of Thoracic Medicine
- Published
- 2025-12-03
- DOI
- https://doi.org/10.4103/atm.atm_283_24
- Primary Topic
- Obstructive Sleep Apnea Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00