AI has the potential to improve the management of sleep apnea by personalizing treatment, enhancing diagnostic accuracy, and advancing our understanding of the condition.
For example face scanning.
https://jcsm.aasm.org/doi/10.5664/jcsm.8246
On the understanding of sleep apnea in general:
https://scitechdaily.com/snore-no-more-unlocking-sleep-apnea-relief-with-innovative-nasal-spray/
Article The Combination of Aroxybutynin and Atomoxetine in the Treat...
https://medicalxpress.com/news/2024-02-women-blood-lipid-metabolism-countering.html
https://medicalxpress.com/news/2024-02-breakthrough-rare-life-threatening-condition.html
https://www.eurekalert.org/news-releases/949851
https://academic.oup.com/sleep/article/45/12/zsac189/6657760
https://www.eurekalert.org/news-releases/571646
https://www.eurekalert.org/news-releases/636608
Regards,
Joachim
Signal processing and analysis: Use AI technology to analyze sleep monitoring data, such as polysomnography (PSG) or portable sleep monitoring devices (such as wearables), to help identify apnea events during sleep.
Pattern recognition: AI can identify different types of apnea, including central and obstructive apnea, and distinguish them from other sleep problems.
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