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

Digital Health Reviews (1489) Decision Support for Health Professionals (1326) Clinical Information and Decision Making (1615) Asthma Education and Self-Management in Childhood and Adolescence (74) Machine Learning (1698) Artificial Intelligence (1679)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/53662, first published .
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

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 (1) 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