Demographic changes induce an ever-higher burden on the healthcare system. Early detection of complications and diseases and the determination of effective personalized treatments are essential to lower this burden, to prevent complications, and to lower healthcare costs while simultaneously improving patient outcome and quality of life. The PROMETHEUS project seeks to leverage technological advances in pathophysiological modeling, unobtrusive sensing, monitoring and AI towards this end.

innovative AI techniques for medical monitoring and optimization

Novel monitoring approaches will be explored to optimize CPAP therapy; camera-based techniques will be optimized for health monitoring of a broad set of hospital patients; task-driven AI techniques will be explored to optimize image quality of intravascular ultrasound catheters; AI based voice monitoring technology will be geared to early detection of heart failure exacerbations; image analysis techniques will be explored for ablation guidance with an innovative ultrasound catheter; reusable approaches for data collection and education will be developed to accelerate clinical exploration and implementation of AI technology; and an identification model will be optimized for early detection of clinical deterioration of hospitalized patients.

Healthcare innovation

The general approach in PROMETHEUS is to explore and co-create novel technological solutions in a controlled clinical environment, to subsequently refine and validate them and where appropriate transfer them to extramural and at-home settings, towards deployment in the healthcare system with the aim to increase effectiveness at lower costs in combination with lower patient burden and higher patient quality of life.