Deep Learning for Non-Invasive Obstructive Sleep Apnea Screening in Children: A Systematic Comparison of Seven Architectures
Overnight polysomnography remains the diagnostic gold standard for pediatric obstructive sleep apnea, yet is widely inaccessible due to cost and infrastructure constraints. This study benchmarks seven deep learning architectures on the Cleveland Children's Sleep and Health Study cohort of 517 children, using 59 non-inv...