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The Pneumoscope project was initiated at the University Hospitals of Geneva (HUG) in 2017 by Professor Alain Gervaix, head of the Paediatric Department. In a preliminary prospective case-control study, comparing children under 5 years of age with viral and bacterial pneumonia to matched children without respiratory pathology, the results showed the ability of Artificial Intelligence (AI) algorithms to distinguish these two groups of children with a sensitivity close to 100%. Currently, more than 25’000 respiratory cycles have been recorded by 30 collaborators in 10 countries.

Thanks to a close collaboration with the Swiss Institute of Technology in Lausanne (EPFL), a team of engineers and doctors came together to develop their own an AI-driven stethoscope able to diagnose any type of respiratory diseases (pneumonia, bronchiolitis, asthma, COPD, etc) mainly based on respiratory sound signature.

The current COVID-19 respiratory pandemic teaches us how can a device for population mass screening by non-medical person, for self-evaluation by any citizen during a confinement period and for follow-up of respiratory conditions during hospitalization be crucial.

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