Published on in Vol 26 (2024)
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/53662, first published
.

Journals
- 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
- 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
- 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
- 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
- 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
- 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
Books/Policy Documents
- Rharrab B, Belarbi L, Ziti S, El Ouarrak Z, Rhalem W. HealthTech “Global Summit of Digital Health”. View
