Evolution of the Stethoscope: Advances with the Adoption of Machine Learning and Development of Wearable Devices.

ABSTRACT: The stethoscope has long been used for the examination of patients, but the importance of auscultation has declined due to its several limitations and the development of other diagnostic tools. However, auscultation is still recognized as a primary diagnostic device because it is non-invasive and provides valuable information in real-time. To supplement the limitations of existing stethoscopes, digital stethoscopes with machine learning (ML) algorithms have been developed. Thus, now we can record and share respiratory sounds and artificial intelligence (AI)-assisted auscultation using ML algorithms distinguishes the type of sounds. Recently, the demands for remote care and non-face-to-face treatment diseases requiring isolation such as coronavirus disease 2019 (COVID-19) infection increase

SUBMITTER: Kim Y 

PROVIDER: S-EPMC10555525 | biostudies-literature | 2023 Oct

REPOSITORIES: biostudies-literature