Automated Interpretation of Lung Sounds by Deep Learning in Children With Asthma: Scoping Review and Strengths, Weaknesses, Opportunities, and Threats Analysis.
Isabelle Ruchonnet-MétraillerJohan N SiebertMary-Anne HartleyLaurence LacroixPublished in: Journal of medical Internet research (2024)
To achieve the opportunities of automated lung auscultation, there is a need to address weaknesses and threats with large-scale coordinated data collection in globally representative populations and leveraging new approaches to collaborative learning.