PyXy.AI (101016046)

  https://cordis.europa.eu/project/id/101016046

  Horizon 2020 (2014-2020)

  Telehealth-ready AI-powered multi-parametric system for surveillance of COVID-19 and cardio-pulmonary chronic patients

  Medical technologies, Digital tools and Artificial Intelligence (AI) analytics to improve surveillance and care at high Technology Readiness Levels (TRL) (SC1-PHE-CORONAVIRUS-2020-2B)

  artificial intelligence  ·  eHealth  ·  coronaviruses

  2020-12-01 Start Date (YY-MM-DD)

  2023-01-31 End Date (YY-MM-DD)

  € 6,782,267 Total Cost

  Description

The COVID-19 outbreak causes world health care systems to crumble under the load. This consortium proposes a Home-use/Point-of-Care device, incorporating improved clinical parameters, providing early detection, and monitoring of COVID-19 patients. This consortium presents a computerized auscultation device – the PyXy – which provides expert-level lung and heart check-up. The PyXy brings breakthrough capabilities in terms of sound and infrasound analysis, body temperature, blood oxygen levels, heart rate and respiratory cycle, all analyzed by artificial intelligence (AI) for accurate diagnostic data. The device recently showed very promising results in relation to managing COVID-19 disease. Using H2020 funds, the consortium plans to introduce the PyXy to the market within 22 months: allowing anyone to perform diagnostic at an accuracy not normally accessible to the medical staff. In this project the consortium will collect COVID-19 patient data and take the PyXy to high volume manufacturing level. The consortium gathers two technology provider SMEs – Sanolla, the developer of the PyXy device, and Medsensio, experts in AI for classification – together with an established player in the medical devices and e-health solutions – Riester. The work will be done in collaboration with four healthcare service providers (Natali, BeneVit, Helgeland and PhilonMed) to ensure the PyXy will be accepted by the market from all possible aspects. We believe that PyXy is capable to substantially reduce the health-economic impact on healthcare and elderly care services by preventing hospitalization in emergent-care situations. In addition, as PyXy can be used by lesser skilled individuals, we believe it will potentially bridge the gap in care settings that face extreme shortage of skilled workers, and can even be used by informal caregivers at home reducing the overall hospitalization rate even further.

  Complicit Organisations

2 Israeli organisations participate in PyXy.AI.