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

Isabelle Ruchonnet-Métrailler   ^{1, 2 *} , MD, PD, PhD ;   Johan N Siebert   ^{2, 3 *} , MD, PD ;   Mary-Anne Hartley   ^{4, 5} , MPH, Prof Dr, MD, PhD ;   Laurence Lacroix   ^{2, 3} , MD, PD

¹ Pediatric Pulmonology Unit, Department of Pediatrics, Geneva Children’s Hospital, University Hospitals of Geneva, Geneva, Switzerland

² Faculty of Medicine, University of Geneva, Geneva, Switzerland

³ Division of Pediatric Emergency Medicine, Department of Pediatrics, Geneva Children’s Hospital, Geneva University Hospitals, Geneva, Switzerland

⁴ Intelligent Global Health Research Group, Machine Learning and Optimization Laboratory, Swiss Federal Institute of Technology, Lausanne, Switzerland

⁵ Laboratory of Intelligent Global Health Technologies, Bioinformatics and Data Science, Yale School of Medicine, New Haven, CT, United States

*these authors contributed equally