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Digital Health Reviews (1883) Respiratory Medicine (177) Artificial Intelligence (2467) New Diagnostic Tools and Instruments for Pediatrics (54) Pulmonology, COPD (215) Computer-Aided Diagnosis (288) Applications of AI (388)

Published on in Vol 27 (2025)

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Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/66491, first published .
Teddy bear with stethoscope and lung sound analysis graph

Artificial Intelligence Models for Pediatric Lung Sound Analysis: Systematic Review and Meta-Analysis

Artificial Intelligence Models for Pediatric Lung Sound Analysis: Systematic Review and Meta-Analysis

Authors of this article:

Ji Soo Park1 Author Orcid Image ;   Sa-Yoon Park2, 3 Author Orcid Image ;   Jae Won Moon1 Author Orcid Image ;   Kwangsoo Kim2, 4 Author Orcid Image ;   Dong In Suh1 Author Orcid Image
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Journals

  1. Lyu Y, Jiang Q, Yuan S, Hong J, Chen C, Wu H, Wang Y, Shi Y, Yan H, Xu J. Non-invasive acoustic classification of adult asthma using an XGBoost model with vocal biomarkers. Scientific Reports 2025;15(1) View
  2. Sreejith R, Ramasamy R, Mohd-Isa W, Abdullah J. Enhanced Lung Disease Classification Using CALMNet: A Hybrid CNN-LSTM-TimeDistributed Model for Respiratory Sound Analysis. IEEE Access 2025;13:135053 View
  3. Lee J, Park S, Park J, Suh D, Kim K. LUNAR: Periodicity-aware time-series analysis framework for LUNg Auscultation Respiratory detection. Computers in Biology and Medicine 2025;197:110947 View
  4. Li S, Yang D, Song J, Wang Y. Innovations in pediatric lung health amid global health shifts. World Journal of Pediatrics 2025;21(12):1196 View
  5. FUJITA W, SAKAMOTO A, SATO E, KANEKO T, KAGIYAMA N. Transformative Impact of Artificial Intelligence on Internal Medicine: Current Applications, Challenges, and Future Horizons for Urban Health. Juntendo Medical Journal 2025;71(6):389 View
  6. Soto-Martinez M, Rubin B. Year in review: “Best” papers in pediatric pulmonary and sleep medicine in 2025. Paediatric Respiratory Reviews 2026;58:24 View
  7. Culver R, Johnson A, Tan L. From guidelines to algorithms: the future of AI-augmented asthma care. Current Opinion in Pulmonary Medicine 2026;32(3):232 View
  8. Li Y, Zhao K, Wu J. Machine Learning in Left Ventricular Hypertrophy Detection: Systematic Review and Meta-Analysis. Journal of Medical Internet Research 2026;28:e76637 View
  9. Pais-Cunha I, Pessoa D, Silva M, Ferreira-Cardoso H, Rocha B, Paiva R, de Carvalho P, Fonseca J, Azevedo I, Jácome C. Wheeze detection in real-world pediatric care: AI applied to smartphone lung auscultation. European Journal of Pediatrics 2026;185(6) View
  10. Masui K, Osawa R, Takahashi K, Asai T. Electronic stethoscopy may be useful for early detection of tracheal tube cuff leak in pediatric patients. Journal of Anesthesia 2026 View