CORDIS Project
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The project focuses on enhancing the diagnosis of cardiac and respiratory conditions using machine learning to analyze human sounds. It aims to develop a software framework that supports clinical training and diagnostics, making sound-based assessments more accessible and effective for healthcare professionals.
Human sounds, both bodily sounds (e.g., heart sounds) or voice, have been used by doctors for centuries as diagnostic signals for health and disease progression.
However, while stethoscopes and microphones are very affordable, diagnosing through sound is a challenging task for medical professionals and requires years of training.
The clinical training is generally based on shadowing experienced clinicians and repeating auscultation: this has scalability limits and imposes a considerable burden o…
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