Using H2020 funds, the consortium plans to introduce the PyXy to the market within 22 months: a Point-of-Care, nursing-homes, and home use device allowing anyone to perform diagnostic (auscultation) at an accuracy not normally accessible to the medical staff.
In this project the consortium will collect COVID-19 patient data as well as reference data (healthy and other chronic patients). Following the build-up of this unique database, we will adopt the existing AI algorithm to deal with COVID-19 and take the PyXy to production readiness.
The primary objective of the project is to mature, optimise and demonstrate an AI-powered cloud-based system for patient’s lung health assessment and monitoring, which integrates an intelligent sensor device – PyXy – and machine learning to increase the efficiency and the quality of the care delivery to patients from risk groups, especially under a pandemic outbreak.
The methods should have clinically valuable sensitivity and specificity for early detection of deterioration in individual health status by monitoring cardio-respiratory parameters using combined clinical indicators. The system should fit with routine workflows at the health institution as well as fit with established infrastructure of e-health / IT systems.
We have identified several main challenges that shape the project and set the objectives for the project partners to achieve through the proposed activities, leading to the innovation and outputs.