Pneumoscope, the first 3 in 1 multiparameter medical device, combines a digital stethoscope, an oximeter and a thermometer.
Lung sounds, O2 blood saturation, and temperature are transmitted to a mobile app for analysis in real time and recognition of respiratory sound signatures by AI- algorithms. The app informs the user on the likely diagnosis, the severity of the condition and suggests an appropriate management.
The automation of lung sound recognition using AI opens auscultation to many health agents, such as nurses, pharmacists and HCWs for a rapid and correct management of respiratory diseases. Costs are lowered and quality of care improved.
Prototype but not yet marketed or available for regular use
Benissa MR, Starkov P, Sola J, Verjus C, Manzano S, Hugon F, Gervaix A.Diagnostic performance of an unsupervised digital stethoscope for community acquired childhood pneumonia : a case-control study. Geneva Health FOrum 2018.
Solà, Josep, Fabian Braun, E. Muntane, Christophe Verjus, Mattia Bertschi, Florence Hugon, Sergio Manzano, Mohamed Benissa and Alain Gervaix. “Towards an unsupervised device for the diagnosis of childhood pneumonia in low resource settings: Automatic segmentation of respiratory sounds.” 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (2016): 283-286.