Reliability of machine- and deep learning-based automatic analysis of sleep-disordered breathing - 2025 Sleep and Breathing conference

Artificial intelligence in sleep medicine

Chair(s): Sanjay R. Patel, Ludger Grote

Session type: Hot topic

Reliability of machine- and deep learning-based automatic analysis of sleep-disordered breathing

Erna Sif Arnardóttir

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Session content

Introduction

Added value of implying sleep and arousal information from autonomic nervous system activity in home sleep apnoea testing

Sebastiaan Overeem

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Slides

Reliability of machine- and deep learning-based automatic analysis of sleep-disordered breathing

Erna Sif Arnardóttir

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AI models for predicting effects of CPAP therapy

Manuel Sanchez De La Torre

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Discussion and Q&A

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Session aims

Update on recent results from application of artificial intelligence in the diagnosis and treatment of sleep-disordered breathing

Sleep and Breathing Conference