REM Behavior Disorder Explainability in EEG via Spectral Band Cluster Prevalence
This study demonstrates potential to improve identification of RBD and RBD subtype-specific EEG biomarkers associated with synucleinopathy and PTSD/TASD.
Narcolepsy Disorders Explainability in EEG via Spectral Band Cluster Prevalence
This study features novel analytic methods for explainability, SBCP (spectral band cluster prevalence), with potential applications to Narcolepsy disorder-specific EEG biomarkers and AI understandability.
Utilizing machine learning based on multi-modal data to predict PAP adherence in patients with OSA
This study highlights the use of machine learning based on multi-modal data to predict PAP adherence in patients with OSA, presented by Kaiser Permanente and EnsoData Research.
How will artificial intelligence (AI) advance sleep medicine?
This research abstract addresses various components and methods deployed in AI and covers examples of how AI is used to screen, endotype, diagnose, and treat sleep disorders.