Andes
A team of Peruvian researchers will collaborate with research seeking to develop deep learning acoustic models that use artificial intelligence to non-invasively diagnose respiratory diseases using only the sounds they emit.
Using a digital stethoscope placed on a patient’s chest, the sounds emitted can be captured and then compared via artificial intelligence algorithms to specific symptoms of respiratory diseases such as tuberculosis, asthma, bronchitis, pneumonia, pulmonary fibrosis and even COVID-19. 19. 19. Medical devices will therefore allow potential risks to be identified in real time.
This way, with the help of technology, doctors will have additional resources to make diagnoses in less time.
Audium Health co-founder Abel Vilca told Andina agency that the research is in the clinical trial phase.
“The clinical trial phase includes assessing efficacy and safety DX range In a controlled environment. The product will be rigorously tested on volunteer patients to determine its accuracy in detecting respiratory diseases through sounds captured by a digital stethoscope. “He said.
During this stage, the AI algorithm feeds the captured audio into a machine learning model, which uses deep learning techniques to find patterns that are not easily recognized by the human ear.
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