ArticleIEEE journal of biomedical and health informatics2021
A Convolutional Neural Network Architecture to Enhance Oximetry Ability to Diagnose Pediatric Obstructive Sleep Apnea.
Article in IEEE journal of biomedical and health informatics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 3 of them syntheses that pooled it.
What it found
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
17 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Artificial Intelligence Diagnosis of Obstructive Sleep Apnea Using Overnight Pulse Oximetry: A Systematic Review and Bayesian Meta-Analysis.Journal of medical Internet research · 2026Pooled it
- Advancements in pediatric obstructive sleep apnea: cognitive implications and the role of AI in precision medicine.Frontiers in medicine · 2025Pooled it
- Reliability of machine learning to diagnose pediatric obstructive sleep apnea: Systematic review and meta-analysis.Pediatric pulmonology · 2022Pooled it
- Combined explainable deep learning model to predict pediatric sleep apnea from ECG and SpOMeasurement : journal of the International Measurement Confederation · 2026Article
- Artificial intelligence based platform for the automatic and simultaneous explainable detection of apnoea, oxygen desaturation, and artefacts in paediatric polygraphy exams (REST).Scientific reports · 2025Article
- SleepECG-Net: Explainable Deep Learning Approach With ECG for Pediatric Sleep Apnea Diagnosis.IEEE journal of biomedical and health informatics · 2025Article
- An Explainable Deep-Learning Approach to Detect Pediatric Sleep Apnea From Single-Channel Airflow.IEEE journal of translational engineering in health and medicine · 2025Article
- Validation of the Somnolyzer 24×7 automatic scoring system in children with suspected obstructive sleep apnea.Frontiers in medicine · 2025Article
- Deep learning approaches for assessing pediatric sleep apnea severity through SpO2 signals.Scientific reports · 2024Article
- ECG-based convolutional neural network in pediatric obstructive sleep apnea diagnosis.Computers in biology and medicine · 2023Article
- Prediction of the Sleep Apnea Severity Using 2D-Convolutional Neural Networks and Respiratory Effort Signals.Diagnostics (Basel, Switzerland) · 2023Article
- Adoption of Transformer Neural Network to Improve the Diagnostic Performance of Oximetry for Obstructive Sleep Apnea.Sensors (Basel, Switzerland) · 2023Article
- Paediatric sleep apnea event prediction using nasal air pressure and machine learning.Journal of sleep research · 2023Article
- Recent advances in paediatric sleep disordered breathing.Breathe (Sheffield, England) · 2022Review
- Oximetry Indices in the Management of Sleep Apnea: From Overnight Minimum Saturation to the Novel Hypoxemia Measures.Advances in experimental medicine and biology · 2022Article
- Diagnosis of Obstructive Sleep Apnea in Patients with Associated Comorbidity.Advances in experimental medicine and biology · 2022Review
- Bispectral Analysis of Heart Rate Variability to Characterize and Help Diagnose Pediatric Sleep Apnea.Entropy (Basel, Switzerland) · 2021Article
Corrections and comments
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Authors and funding
9 authors.
Funding
Abstract
This study aims at assessing the usefulness of deep learning to enhance the diagnostic ability of oximetry in the context of automated detection of pediatric obstructive sleep apnea (OSA). A total of 3196 blood oxygen saturation (SpO
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Registered trials
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