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MEDIA

Project summary

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 comorbidities, and to lower healthcare costs while simultaneously improving patient outcome and quality of life. The MEDEIA project proposed here seeks to leverage technological advances in pathophysiological modeling, unobtrusive sensing, monitoring and artificial intelligence (AI) towards this end.

A major thrust is on further radical innovations towards widespread use of ultrasound (US) imaging technology. Real-time AI techniques will be developed and evaluated for three challenging applications: a) 3D super-resolution imaging for use in cardiac and lung imaging; b) high-quality fetal ultrasound imaging for detection of congenital heart disease; c) localization of intracardiac echography transducers transducers for tricuspid valve therapy. For a variety of unobtrusive wearables worn and the torso and/or wrist, we will develop and evaluate informative new cardiorespiratory metrics. To improve therapy selection for obstructive sleep apnea, we will investigate both classical polysomnography and wearables for longitudinal prediction of therapy compliance. We will also develop a staging area to connect real-time clinical patient monitoring data to the e/MTIC health data portal and in parallel develop a cataloging framework for data-analysis algorithms. To advance cancer care with human-centered AI development we will investigate and evaluate solutions to improve physician-AI collaboration. Furthermore, jointly with the Netherlands Heart Network we will implement and evaluate several innovations for cardiovascular patients across the full care chain.

The general approach in MEDEIA is to co-develop novel technological solutions in a controlled clinical environment, and to subsequently refine and validate them in extramural and at-home settings, immediately followed by 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.