Research map: Video-based artificial intelligence for automated neonatal respiratory monitoring

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Papers in this map

  1. STARD 2015: an updated list of essential items for reporting diagnostic accuracy studies · Patrick M. Bossuyt · 2015 · 3619 citations · Cited by this paper
  2. Clinical characteristics and predictors of severe pertussis in hospitalized children after the COVID-19 period in Türkiye: a multicenter study · 2026 · Related
  3. Performance of the Silverman Andersen Respiratory Severity Score in predicting PCO2 and respiratory support in newborns: a prospective cohort study · Anna B. Hedstrom · 2018 · 95 citations · Cited by this paper
  4. Ultrasound evaluation of quadriceps muscle thickness and body fat distribution in children receiving maintenance hemodialysis: a cross-sectional case–control study · 2026 · Related
  5. Incidence of newborn resuscitative interventions at birth and short-term outcomes: a regional population-based study · Peder Aleksander Bjorland · 2019 · 83 citations · Cited by this paper
  6. The spatial heterogeneity of intra-pancreatic fat deposition in children and adolescents with obesity · 2026 · Related
  7. Neonatal Heart and Lung Sound Quality Assessment for Robust Heart and Breathing Rate Estimation for Telehealth Applications · Ethan Grooby · 2020 · 61 citations · Cited by this paper
  8. The phoenix sepsis score for high mortality risk identification and prognostic predict in pediatric liver transplant recipients · 2026 · Related
  9. Non-Contact Automatic Vital Signs Monitoring of Infants in a Neonatal Intensive Care Unit Based on Neural Networks · Fatema-Tuz-Zohra Khanam · 2021 · 61 citations · Cited by this paper
  10. High versus standard dose caffeine in prevention of apnea of prematurity: an assessor-blinded randomized controlled trial (HI-CAF trial) · 2026 · Related
  11. Bronchopulmonary dysplasia predicted at birth by artificial intelligence · Henrik Verder · 2020 · 41 citations · Cited by this paper
  12. The relationship of spiritual well-being and social support perceptions on psychological resilience among parents of children with special needs · 2026 · Related
  13. Machine learning for prediction of bronchopulmonary dysplasia-free survival among very preterm infants · Rebekah M. Leigh · 2022 · 32 citations · Cited by this paper
  14. Genetic and biological mechanisms of pediatric enuresis: integrating pathophysiology, GWAS associations, and multi-omics research · 2026 · Related
  15. Early prediction of need for invasive mechanical ventilation in the neonatal intensive care unit using artificial intelligence and electronic health records: a clinical study · Young‐A Kim · 2023 · 29 citations · Cited by this paper
  16. Intranasal dexmedetomidine vs. nitrous oxide for procedural sedation in juvenile idiopathic arthritis (INDEXJIA): a randomized crossover clinical trial · 2026 · Related
  17. Automatic Separation of Respiratory Flow from Motion in Thermal Videos for Infant Apnea Detection · Ilde Rosa Lorato · 2021 · 15 citations · Cited by this paper
  18. Psychological and lifestyle predictors of paediatric sleep disturbances: a cross-sectional study · 2026 · Related
  19. Developing a machine learning-based tool to extend the usability of the NICHD BPD Outcome Estimator to the Asian population · Monalisa Patel · 2022 · 10 citations · Cited by this paper
  20. Parental perspectives on neurodevelopmental risk communication and care coordination in congenital heart disease: a nationwide survey in France · 2026 · Related
  21. Predicting the need for intubation within 3 h in the neonatal intensive care unit using a multimodal deep neural network · Jueng-Eun Im · 2023 · 10 citations · Cited by this paper
  22. Using machine-learning models to predict extubation failure in neonates with bronchopulmonary dysplasia · Yue Tao · 2024 · 8 citations · Cited by this paper
  23. Near-Infrared Spectroscopy for Neonatal Sleep Classification · Naser Hakimi · 2024 · 7 citations · Cited by this paper
  24. Prediction of acute respiratory infections using machine learning techniques in Amhara Region, Ethiopia · Abdulaziz Kebede Kassaw · 2024 · 7 citations · Cited by this paper
  25. Depth-Based Intervention Detection in the Neonatal Intensive Care Unit Using Vision Transformers · Zein Hajj-Ali · 2024 · 7 citations · Cited by this paper
  26. Deep-Learning-Based Multi-Class Classification for Neonatal Respiratory Diseases on Chest Radiographs in Neonatal Intensive Care Units · Hye Won Cho · 2025 · 7 citations · Cited by this paper
  27. Development and external validation of a machine learning model to predict bronchopulmonary dysplasia using dynamic factors · Hojung Choi · 2025 · 6 citations · Cited by this paper
  28. Early Prediction of Mechanical Ventilation Needs in Very Preterm Neonates Using Machine Learning · Quinn Gates · 2025 · 5 citations · Cited by this paper
  29. An IoT-based contactless neonatal respiratory monitoring system for neonatal care assistance in postpartum center · Yi‐Chun Du · 2024 · 3 citations · Cited by this paper
  30. Early prediction of bronchopulmonary dysplasia: comparison of modelling methods, development and validation studies · Héloïse Torchin · 2025 · 3 citations · Cited by this paper
  31. Automated hypoxia and apnea identification for neonates via enhanced respiratory signal modeling with deep learning · Abel Jaba Deva Krupa · 2025 · 2 citations · Cited by this paper
  32. Spectral analysis of gastric aspirates obtained shortly after birth predicts the need for prolonged respiratory support in neonates in a development cohort · Brianna C. Leigh · 2025 · 1 citation · Cited by this paper

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