Deep learning-based lung sound analysis for intelligent stethoscope

Dong-Min Huang; Jia Huang; Kun Qiao; Nan-Shan Zhong; Hong-Zhou Lu; Wen-Jin Wang

doi:10.1186/s40779-023-00479-3

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Deep learning-based lung sound analysis for intelligent stethoscope

REVIEW | Updated：2025-12-13

- Deep learning-based lung sound analysis for intelligent stethoscope
- “Digital stethoscopes, leveraging deep learning algorithms, are revolutionizing lung sound analysis, addressing traditional stethoscope limitations and paving the way for intelligent telemedicine diagnostics. Expert researchers have established a comprehensive overview of deep learning-based lung sound analysis systems, which provides solutions to overcome challenges in device variety, noise sensitivity, and model interpretability.”
- Military Medical Research Vol. 11, Issue 4, Pages: 567-588(2024)
- Affiliations：
  
  1.Department of Biomedical Engineering, Southern University of Science and Technology, Shenzhen 518055, Guangdong, China
  2.The Third People’s Hospital of Shenzhen, Shenzhen 518112, Guangdong, China
  3.Guangzhou Institute of Respiratory Health, China State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510120, China
- Author bio：
  
  *nanshan@vip.163.com;
  luhongzhou@fudan.edu.cn;
  wangwj3@sustech.edu.cn
- Funds：
- DOI：10.1186/s40779-023-00479-3
  CLC：
- Published：2024-08
- Accepted：
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Dong-Min Huang, Jia Huang, Kun Qiao, et al. Deep learning-based lung sound analysis for intelligent stethoscope[J]. Military Medical Research, 2024, 11(4): 567-588.
DOI：

Dong-Min Huang, Jia Huang, Kun Qiao, et al. Deep learning-based lung sound analysis for intelligent stethoscope[J]. Military Medical Research, 2024, 11(4): 567-588. DOI： 10.1186/s40779-023-00479-3.

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Deep learning-based lung sound analysis for intelligent stethoscope

DOI：10.1186/s40779-023-00479-3