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Auscultation of respiratory sounds is the primary tool for screening and diagnosing lung diseases. Automated analysis, coupled with digital stethoscopes, can play a crucial role in enabling ...

WASHINGTON — Health officials worldwide are tracking a newly dominant influenza A strain, particularly a variant of H3N2 that has emerged earlier and spread more widely than usual this season, ...

Respiratory sound classification is a growing field in medical signal processing and can aid in non-invasive diagnosis of lung disorders. However, models trained on recordings coming from primarily ...

My Integrated Master of Science Thesis for CEID, University of Patras with Topic: "Classification of Abnormal Respiratory Sounds using Machine Learning and Domain Adaptation".

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During a routine evening, Sarah noticed her tabby’s breaths sounded raspy, like air squeezing through a narrow straw. Unlike her golden retriever’s audible panting, this was unfamiliar territory.

Background: Auscultation is a critical diagnostic feature of lung diseases, but it is subjective and challenging to measure accurately. To overcome these limitations, artificial intelligence models ...