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Digital Health Reviews (1883) Clinical Information and Decision Making (2157) Decision Support for Health Professionals (1705) Machine Learning (2316) Asthma Education and Self-Management in Childhood and Adolescence (94) Artificial Intelligence (2469)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/53662, first published .
Digital lungs with glowing network connections, representing respiratory health technology.

Automated Interpretation of Lung Sounds by Deep Learning in Children With Asthma: Scoping Review and Strengths, Weaknesses, Opportunities, and Threats Analysis

Automated Interpretation of Lung Sounds by Deep Learning in Children With Asthma: Scoping Review and Strengths, Weaknesses, Opportunities, and Threats Analysis

Authors of this article:

Isabelle Ruchonnet-Métrailler1, 2 Author Orcid Image ;   Johan N Siebert2, 3 Author Orcid Image ;   Mary-Anne Hartley4, 5 Author Orcid Image ;   Laurence Lacroix2, 3 Author Orcid Image
Article Authors Cited by (10) Tweetations Metrics

Journals

  1. Park J, Park S, Moon J, Kim K, Suh D. Artificial Intelligence Models for Pediatric Lung Sound Analysis: Systematic Review and Meta-Analysis. Journal of Medical Internet Research 2025;27:e66491 View
  2. Liu L, Li W, Moxley B. AI-Based Classification of Pediatric Breath Sounds: Toward a Tool for Early Respiratory Screening. Applied Sciences 2025;15(13):7145 View
  3. 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
  4. 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
  5. Dent A, Khan M, Subbarao P. Leveraging artificial intelligence for the management of preschool wheeze: A narrative review. Pediatric Allergy and Immunology 2025;36(10) View
  6. 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
  7. 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
  8. Barreto M, Tripodi S, Fracasso M, Cerocchi M, Mazzuca M, Evangelisti M, Pagani J, Guglielmi F, Parisi P. Oscillometry and Artificial Intelligence (AI) Detected Adventitious Lung Sounds During Exercise Induced Bronchoconstriction in Children. Journal of Pediatric Advance Research 2026;5(2):1 View

Books/Policy Documents

  1. Rharrab B, Belarbi L, Ziti S, El Ouarrak Z, Rhalem W. HealthTech “Global Summit of Digital Health”. View

Conference Proceedings

  1. T S, Isravel D, Malar Dhas J. 2025 6th International Conference on IoT Based Control Networks and Intelligent Systems (ICICNIS). CNN with Efficient Channel Attention for Multi-Class Respiratory Sound Prediction View