Research map: Artificial intelligence in pediatric arrhythmias: current landscape, unique challenges, and translational perspectives

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Papers in this map

  1. Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network · Awni Hannun · 2018 · 3179 citations · Cited by this paper
  2. ARTIFICIAL INTELLIGENCE IN PEDIATRIC ELECTROCARDIOGRAPHY: DIAGNOSTIC APPLICATIONS, PREDICTIVE POTENTIAL, AND CLINICAL LIMITATIONS - A LITERATURE REVIEW · Klaudia Ostrowicz · 2026 · Cites this paper
  3. Clinical features and nonoperative strategy for first-time infected urachal cysts in infants · 2026 · Related
  4. 2022 ESC Guidelines for the management of patients with ventricular arrhythmias and the prevention of sudden cardiac death · Katja Zeppenfeld · 2022 · 3137 citations · Cited by this paper
  5. Sex-stratified trends in hypoplastic left heart syndrome-related mortality among children and young adults in the United States, 1999–2024: a pre- and post-COVID-19 analysis · 2026 · Related
  6. The future of digital health with federated learning · Nicola Rieke · 2020 · 3065 citations · Cited by this paper
  7. Risk factors and a predictive model for delayed extubation in children undergoing primary repair of tetralogy of Fallot: a retrospective cohort study with rigorous methodological validation · 2026 · Related
  8. An artificial intelligence-enabled ECG algorithm for the identification of patients with atrial fibrillation during sinus rhythm: a retrospective analysis of outcome prediction · Zachi Itzhak Attia · 2019 · 1629 citations · Cited by this paper
  9. Correlation analysis of cyclosporine A trough concentration with hematological and biochemical parameters: a retrospective study in pediatric aplastic anemia · 2026 · Related
  10. Screening for cardiac contractile dysfunction using an artificial intelligence–enabled electrocardiogram · Zachi Itzhak Attia · 2018 · 1407 citations · Cited by this paper
  11. KLF1 mutation-associated congenital dyserythropoietic anemia type IV: a case report and literature review · 2026 · Related
  12. Artificial Intelligence in Cardiology: Present and Future · Francisco Alejandro López-Jiménez · 2020 · 291 citations · Cited by this paper
  13. Retrospective analysis of the clinical value of targeted nursing using a game-based model in children undergoing auricular reconstruction for congenital microtia · 2026 · Related
  14. Use of Artificial Intelligence and Deep Neural Networks in Evaluation of Patients With Electrocardiographically Concealed Long QT Syndrome From the Surface 12-Lead Electrocardiogram · Johan Martijn Bos · 2021 · 143 citations · Cited by this paper
  15. Clinical application value of metagenomic next-generation sequencing in children with fever of unknown origin · 2026 · Related
  16. Prediction of prognosis in patients with tetralogy of Fallot based on deep learning imaging analysis · Gerhard‐Paul Diller · 2020 · 88 citations · Cited by this paper
  17. Multimodal quantitative characterization and mechanistic exploration of paraspinal muscle groups in adolescent idiopathic scoliosis · 2026 · Related
  18. Electrocardiogram Standards for Children and Young Adults Using Z -Scores · András Bratincsák · 2020 · 78 citations · Cited by this paper
  19. A Deep Learning–Enabled Electrocardiogram Model for the Identification of a Rare Inherited Arrhythmia: Brugada Syndrome · Chih‐Min Liu · 2021 · 55 citations · Cited by this paper
  20. Performance of first pacemaker to use smart device app for remote monitoring · Khaldoun G. Tarakji · 2021 · 42 citations · Cited by this paper
  21. Accessory pathway analysis using a multimodal deep learning model · Makoto Nishimori · 2021 · 37 citations · Cited by this paper
  22. GENESIS: Gene-Specific Machine Learning Models for Variants of Uncertain Significance Found in Catecholaminergic Polymorphic Ventricular Tachycardia and Long QT Syndrome-Associated Genes · Rachel Lea Draelos · 2022 · 37 citations · Cited by this paper
  23. Evaluation of Maturation in Preterm Infants Through an Ensemble Machine Learning Algorithm Using Physiological Signals · Cristhyne León · 2021 · 23 citations · Cited by this paper
  24. Artificial Intelligence in Pediatric Electrocardiography: A Comprehensive Review · David M. Leone · 2024 · 18 citations · Cited by this paper
  25. The MPRINT Hub Data, Model, Knowledge and Research Coordination Center: Bridging the gap in maternal–pediatric therapeutics research through data integration and pharmacometrics · Sara K. Quinney · 2023 · 17 citations · Cited by this paper
  26. Early bradycardia detection and therapeutic interventions in preterm infant monitoring · Matthieu Doyen · 2021 · 12 citations · Cited by this paper
  27. Development of an AI based automated analysis of pediatric Apple Watch iECGs · Linus Teich · 2023 · 11 citations · Cited by this paper
  28. Machine learning model with output correction: Towards reliable bradycardia detection in neonates · Jessica Sharmin Rahman · 2024 · 11 citations · Cited by this paper
  29. Expert-Level Automated Diagnosis of the Pediatric ECG Using a Deep Neural Network · Joshua Mayourian · 2025 · 11 citations · Cited by this paper
  30. Precision of artificial intelligence in paediatric cardiology multimodal image interpretation · Michael N. Gritti · 2024 · 10 citations · Cited by this paper
  31. AI-Powered Precision: Revolutionizing Atrial Fibrillation Detection with Electrocardiograms · Ameen Nasser · 2025 · 7 citations · Cited by this paper
  32. Comparison of Machine Learning Algorithms Using Manual/Automated Features on 12-Lead Signal Electrocardiogram Classification: A Large Cohort Study on Students Aged Between 6 to 18 Years Old · Ghasem Hajianfar · 2023 · 6 citations · Cited by this paper
  33. The Validation and Accuracy of Wearable Heart Rate Trackers in Children With Heart Disease: Prospective Cohort Study · Hidde J. Hardon · 2025 · 6 citations · Cited by this paper
  34. Deep Neural Network Analysis of the 12-Lead Electrocardiogram Distinguishes Patients With Congenital Long QT Syndrome From Patients With Acquired QT Prolongation · Johan Martijn Bos · 2025 · 5 citations · Cited by this paper
  35. Application of machine learning in predicting postoperative arrhythmia following transcatheter closure of perimembranous ventricular septal defects · Lintao Yan · 2025 · 4 citations · Cited by this paper
  36. Pacemaker remote monitoring challenges in pediatric population: Single center long term experience · Dagmar Kowal · 2024 · 3 citations · Cited by this paper
  37. Quantitative Histological Insights Into Sudden Arrhythmic Death Syndrome: Findings From a Forensic Autopsy Cohort · Pernille Heimdal Holm · 2026 · 2 citations · Cited by this paper
  38. Evaluation of AI-based ECG analysis accuracy using Chat GPT-4 and Gemini AI models · Botond Bocz · 2025 · 2 citations · Cited by this paper
  39. Wolff-Parkinson-White-Syndrom · Γεώργιος Κόλλιας · 2026 · 2 citations · Cited by this paper

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