A unique in the world technology for the identification and classification of sounds from auscultation carried out at home, using intelligent algorithms, as a support for remote diagnostics and monitoring of respiratory diseases.
The StethoMe system is based on artificial intelligence (StethoMe AI) that analyses and detects abnormal auscultatory sounds in the respiratory system. StethoMe enables professional auscultation at home. It immediately informs about the appearance of auscultatory abnormalities. It speeds up the necessary medical visits and eliminates the unnecessary ones. It makes it possible to send the results remotely, and also supports the physician in the diagnostic process by providing an objective auscultation. Thanks to the implementation of the project, it is possible to:
- monitoring the health of the respiratory system at the patient’s home,
- early detection of abnormalities, including sounds characteristics of pneumonia or bronchitis (fine and coarse crackles),
- detection of sounds characteristic of bronchial obstruction (wheezes and rhonchi), which enables better monitoring of diseases such as asthma,
- online transmission of auscultation results to the attending physician for further diagnosis,
- the possibility of regular lung health checks, thus preventing complications and optimizing the administered drugs in case of chronic diseases, creating a history of recordings and results saved in the cloud and consulting them with a physician.
For the first time in over 200 years, i.e. since the creation of the stethoscope, auscultation can be performed by a layperson at home, without the participation of a physician, and automatically analysed with greater sensitivity and specificity than in the case of classic auscultation.
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