Testing for Obstructive Sleep Apnea by Area Socioeconomic Deprivation in Six Million Adults
This study assesses the rate of testing for Obstructive Sleep Apnea analyzed through a lens of socioeconomic demographic data.
Treatment for Obstructive Sleep Apnea by Area Socioeconomic Deprivation in Six Million Adults
This study assesses the rate of treatment for Obstructive Sleep Apnea analyzed through a lens of socioeconomic demographic data.
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.
Relationship Between RDW and Disease Burden in Obstructive Sleep Apnea
This study highlights the relationship between RDW and Disease Burden in OSA, presented by Northwell Health, Donald and Barbara Zucker School of Medicine at Hofstra/Northwel, and EnsoData Research.
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.
Polysomnography following an indeterminate HSAT: Low Compliance with AASM Guidelines
In this study, we evaluate whether patients are likely to comply with receiving a follow-up PSG following an indeterminate HSAT to rule out any presence of OSA and assess the demographic characteristics of individuals who are more likely to follow the AASM guidelines.
Evaluation of Healthcare Insurance Claims Record based Artificial Intelligence Screening Tools for Undiagnosed Obstructive Sleep
This research examined the feasibility for machine learning algorithms to improve upon screening for obstructive and central sleep apnea (SA) at the population health level using existing health insurance claims data.
Impact of OSA Therapy on Healthcare Costs: Actuarial Analysis of OSA Prevalence, Therapy Adherence, Co-morbidity, and Costs in a Large Medicare Population Cohort
This study examines the relationship between OSA Therapy and other key healthcare economics, including the prevalence of undiagnosed OSA, rate of diagnosed patients not starting continuous positive airway pressure (CPAP) therapy, spectrum of CPAP treatment adherence, and effects of concurrent co-morbidity.
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.