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AI & Sleep Medicine

Polysomnography following an indeterminate HSAT Low Compliance with AASM Guidelines

Polysomnography following an indeterminate HSAT: Low Compliance with AASM Guidelines

Yoav N. Nygate1 • Sam Rusk1 • Fred Turkington1 • Chris R. Fernandez1 • Nick Glattard1 • Matt Sprague1 • Zac Winzurk1 • Nathaniel Watson, MD, MSc2 Access

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Evaluation of Healthcare Insurance Claims Record

Evaluation of Healthcare Insurance Claims Record based Artificial Intelligence Screening Tools for Undiagnosed Obstructive Sleep

Sam Rusk, BS1 • Fred Turkington, BS1 • Chris R. Fernandez, MS1 • Yoav N. Nygate, MSc1 • Nick Glattard, MS1 • Melania Abrahamian, PhD1

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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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AI and Sleep Medicine Hero Image

The Future of AI and Sleep Medicine: Data is Simplifying the Lives of Frontline Clinicians

Today, we will be discussing AI and sleep medicine, the current relationship between them and how AI might transform sleep medicine going forward.

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Recent Posts
  • Polysomnography following an indeterminate HSAT: Low Compliance with AASM Guidelines
  • Evaluation of Healthcare Insurance Claims Record based Artificial Intelligence Screening Tools for Undiagnosed Obstructive Sleep
  • 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
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