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Impact of OSA Therapy on Healthcare Costs: Actuarial Analysis of OSA Prevalence, Therapy Adherence, Co-morbidity, and Costs in a Large Medicare Population Cohort

Chris R. Fernandez1 • Mark Kaiser1 • Jen McClurg1 • Sam Rusk1 • Nick Glattard1 • Fred Turkington1 • Yoav N. Nygate1 • Maggie Richard2 • Ian Duncan2 • Nathaniel Watson3 Access the Study Download the Poster Introduction Research studying the

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How will artificial intelligence (AI) advance sleep medicine?

Nathaniel F. Watson1 • Cathy Goldstein2 • Sam Rusk3 • Chris Fernandez3 Download the Study Abstract Artificial intelligence (AI) combines clinical, environmental and laboratory based

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SLEEP 2021: Shining New Light on Sleep Medicine

What to expect at this year’s virtual SLEEP 2021 conference: forward thinking presentations, revolutionary data, and groundbreaking research. 

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Clinical Validation of AI Scoring in Adult and Pediatric Clinical PSG Samples Compared to Prospective, Double-Blind Scoring Panel

Chris R. Fernandez, MS1 • Sam Rusk, BS1 • Yoav N. Nygate, MSc1 • Nick Glattard, MS1 • Fred Turkington, BS1 • Nathaniel F. Watson,

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Clinical Validation of AI Analysis of PPG Based Sleep-Wake Staging, Total Sleep Time, and Respiratory Rate

Nathaniel F. Watson, MD, MSc1 • Chris R. Fernandez, MS2 • Sam Rusk, BS2 • Yoav N. Nygate, MSc2 • Nick Glattard, MS2 • Fred

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Redefining Positive Airway Pressure (PAP) Adherence Phenotypes Utilizing Deep Neural Networks and Unsupervised Clustering

Yoav N. Nygate, MS1 • Sam Rusk, BS1 • Chris R. Fernandez, MS1 • Nick Glattard, MS1 • Nathaniel F. Watson, MD, MSc2 • William

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Dynamic Phenotype Learning: A Novel Machine Learning Approach To Develop And Discover New OSA Sub-Types

Chris R. Fernandez, MS1 • Sam Rusk, BS1 • Yoav N. Nygate, MS1 • Nick Glattard, MS1 • Jessica Arguelles, BS • Jiaxiao M. Shi,

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Evaluation of Electronic Medical Record Artificial Intelligence Screening Tools for Undiagnosed OSA

Sam Rusk, BS • Yoav N. Nygate, MSc • Fred Turkington, BS • Chris R. Fernandez, MS • Nick Glattard, MS • Nathaniel F. Watson,

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EEG-Based Deep Neural Network Model for Brain Age Prediction and its Association with Patient Health Conditions

Yoav N. Nygate, MS, Sam Rusk, BS, Chris R. Fernandez, MS, Nick Glattard, MS, Jessica Arguelles, BS, Jiaxiao M. Shi, PhD, Dennis Hwang, MD, Nathaniel

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Recent Posts
  • Leveraging Technology and Experience to Empower Technologists
  • Impact of OSA Therapy on Healthcare Costs: Actuarial Analysis of OSA Prevalence, Therapy Adherence, Co-morbidity, and Costs in a Large Medicare Population Cohort
  • The Clinical Value of EnsoSleep’s Total Sleep Time for HSATs
  • The Big News Trifecta: $20m Series A Extension, New President, Back-to-Back Best Workplaces
  • Hey Dental Practices… Sleep Medicine is Calling!
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