Clinical Validation of AI Scoring in Adult and Pediatric Clinical PSG Samples Compared to Prospective, Double-Blind Scoring PanelMarch 5, 2021Read more
Clinical Validation of AI Analysis of PPG Based Sleep-Wake Staging, Total Sleep Time, and Respiratory RateMarch 5, 2021Read more
Redefining Positive Airway Pressure (PAP) Adherence Phenotypes Utilizing Deep Neural Networks and Unsupervised ClusteringMarch 5, 2021Read more
Dynamic Phenotype Learning: A Novel Machine Learning Approach To Develop And Discover New OSA Sub-TypesMarch 5, 2021Read more
Evaluation of Electronic Medical Record Artificial Intelligence Screening Tools for Undiagnosed OSAMarch 5, 2021Read more
EEG-Based Deep Neural Network Model for Brain Age Prediction and its Association with Patient Health ConditionsMarch 1, 2021Read more
Using AI to Predict Future CPAP Adherence and the Impact of Behavioral and Technical InterventionsMay 27, 2020Read more
Computational Phenotyping In CPAP Therapy: Using Interpretable Physiology‑Based Machine Learning Models To Predict Therapeutic CPAP PressuresMarch 12, 2019Read more
Computational Phenotyping in Polysomnography: Using Interpretable Physiology-Based Machine Learning Models to Predict Health OutcomesJune 3, 2017Read more
A Modeling Study on Inspired CO2 Rebreathing Device for Sleep Apnea Treatment by Means of CFD Analysis and ExperimentMarch 27, 2017Read more
NEXT: A System for Real-World Development, Evaluation, and Application of Active LearningDecember 9, 2015Read more
