The interpretation of lung auscultation is highly subjective and relies on non-specific
nomenclature. Computer-aided analysis has the potential to better standardize and …

Lung auscultation has long been used as a valuable medical tool to assess respiratory
health and has gotten a lot of attention in recent years, notably following the coronavirus …

Auscultation of respiratory sounds is the primary tool for screening and diagnosing lung
diseases. Automated analysis, coupled with digital stethoscopes, can play a crucial role in …

Patients with respiratory conditions typically exhibit adventitious respiratory sounds (ARS),
such as wheezes and crackles. In recent years, computerized methods for analyzing …

Auscultation is an important diagnostic method for lung diseases. However, it is a subjective
modality and requires a high degree of expertise. To overcome this constraint, artificial …

The use of machine learning in biomedical research has surged in recent years thanks to
advances in devices and artificial intelligence. Our aim is to expand this body of knowledge …

The prevalence of ubiquitous computing enables new opportunities for lung health
monitoring and assessment. In the past few years, there have been extensive studies on …

Featured Application Auscultatory lung sound analysis in healthcare. Abstract We previously
established an open-access lung sound database, HF_Lung_V1, and developed deep …

Respiratory diseases are among the most common causes of severe illness and death
worldwide. Prevention and early diagnosis are essential to limit or even reverse the trend …

Background Lung auscultation is fundamental to the clinical diagnosis of respiratory
disease. However, auscultation is a subjective practice and interpretations vary widely …