
A recent scoping review delves into the applications of cough sounds as screening tools and diagnostics. The study, focusing on disease types, data collection, processing methods, accuracy, and limitations, sheds light on the growing interest in this area. Among 438 screened abstracts, 108 articles met the criteria, primarily human studies (77.8%), mainly in adults (57.3%). Single-modality acoustic data collection prevailed (71.2%), with rising machine learning applications (61.1%). Focus areas included cough detection (41.7%), COVID-19 screening (11.1%), and pediatric asthma diagnosis (52.6%). Cough sounds show promise as accessible, noninvasive disease biomarkers with machine learning advancements and mobile technology.
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