[Acoustic technology empowers the diagnosis and treatment of respiratory diseases: challenges, and prospects].

Abstract

Respiratory diseases is a major challenge to global public health. In recent years, acoustic technology has shown great potential as a non-invasive and convenient diagnostic method for detecting and monitoring respiratory diseases. With the development of sensor technology and machine learning algorithms, disease classification and pattern recognition based on acoustic data analysis have gradually become possible. This paper reviews the application of acoustic technology in the diagnosis and treatment of respiratory diseases, focusing on the methods of collecting and analysing different acoustic signals and their potential in clinical practice. Although acoustic technology has shown a promising prospect in detecting respiratory diseases, it still faces challenges such as noise interference, signal processing capabilities, clinical translation and application, and multimodal data integration. Future research should focus on technological improvement and interdisciplinary cooperation for verification to improve diagnostic accuracy and promote the clinical application of acoustic technology.