This paper is in the following e-collection/theme issue:

Digital Health Reviews (1724) Artificial Intelligence (2129) Pulmonology, COPD (195) Respiratory Medicine (157) New Diagnostic Tools and Instruments for Pediatrics (48) Computer-Aided Diagnosis (251) Applications of AI (287)

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 .
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

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
Article Authors Cited by (5) Tweetations Metrics

Ji Soo Park   1 * , MD, PhD ;   Sa-Yoon Park   2, 3 * , KMD, PhD ;   Jae Won Moon   1 , MD ;   Kwangsoo Kim   2, 4 * , PhD ;   Dong In Suh   1 * , MD, PhD

1 Department of Pediatrics, Seoul National University College of Medicine, Seoul, Republic of Korea

2 The Institute of Convergence Medicine with Innovative Technology, Seoul National University Hospital, Seoul, Republic of Korea

3 Department of Physiology, College of Korean Medicine, Wonkwang University, Iksan, Republic of Korea

4 Department of Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea

*these authors contributed equally

Corresponding Author:

  • Dong In Suh, MD, PhD
  • Department of Pediatrics
  • Seoul National University College of Medicine
  • 101, Daehak-Ro Jongno-Gu
  • Seoul 03080
  • Republic of Korea
  • Phone: 82 2-2072-362
  • Email: dongins0@snu.ac.kr