The e/MTIC AI-Lab is a collaboration between Eindhoven University of Technology, Catharina Hospital, Maxima Medical Center, Kempenhaeghe Epilepsy and Sleep Center and Philips. The main purpose of e/MTIC is to provide a fast track to high-tech health innovations.
e/MTIC AI-Lab focuses on improving personalized treatment by having AI work in close collaboration with the clinical staff and MedTech industries since AI is better able to make reliable decisions in a wide range of healthcare situations. It will cooperate on decisions and continuously learn to be a better partner. This requires new approaches, new models and new benchmarks for the reliability, efficacy and trustworthiness of AI. The goal of the e/MTIC AI lab is to work with a unique mixture of industry, clinical partners and TU/e researchers to maximize the value of AI for the clinical practice.
Eindhoven MedTech Innovation Center (e/MTIC) is a large-scale research collaboration that focuses on the fast implementation of dedicated high-tech health care innovations.
Find out more about e/MTIC AI-Lab.
e/MTIC Conference 2022
On September 22, 2022, the Eindhoven MedTech Innovation Center (e/MTIC) annual conference takes place. The theme of this year is ‘Fast track to clinical innovation: the essentials’.
Go to event.
Many of the e/MTIC researchers are currently working on and implementing analysis techniques and (prediction) algorithms for improved (patient) monitoring and diagnosis and to help optimize individual treatment strategies in collaboration with many medical specialists. Due to the many complexity and heterogeneities in medical data, these approaches and other innovations will be further developed, implemented and automated through projects in e/MTIC. The research focus is on robustness and improved stability of algorithms and methods. In the e/MTIC ICAI lab, AI will be mainly used for the following application areas:
Strongly enhanced Ultrasound, MRI and CT imaging by embedding task-adaptive AI across the imaging chain.
Strongly enhanced monitoring of vital signs both in clinical and in extramural settings.
Clinical decision support systems
Use AI to combine various data streams (e.g. EMR, images, spot checks) to produce explainable and patient-specific advice, early warning and alarms.
Artificial Intelligence in Percutaneous Coronary Interventions (PCI)
AI has the potential to enhance PCI procedures performed in the CathLab in two areas: 1) Clinical support, 2) Operational efficiency and workflow. This project seeks to develop strongly improved AI approaches for accurate evaluation of the coronary vessel tree in X-ray angiographic images, as a basis for improved decision making in PCI. For example as Clinical support for the right sizing and deployment of stents. To increase Operational efficiency it targets automation of the case reporting by jointly identify the elements and deduce information from the data-rich environment.
Risk stratification and screening in early pregnancy
This project seeks to multi-parametric model-based AI approaches to stratify and predict the risks of gestational diabetes mellitus and pregnancy-induced hypertensive disorders in early pregnancy based on EMR, personal, behavioural and social-economic data. To this end it will aggregate data from multiple sources with physiological cardiovascular models and statistical models, using AI to identify foetuses at risk during high-risk pregnancies, (un)complicated labour and delivery.
e/MTIC Health Data Portal
A structural solution for sharing and analysing data for research in (but not limited to) Healthcare.
Frans van de Vosse
Jan Bergmans is professor Electrical Engineering at Eindhoven University of Technology and leads the Signal Processing Systems group.
Frans van de Vosse is professor of Cardiovascular Biomechanics at Eindhoven University of Technology.
Carmen van Vilsteren
Carmen van Vilsteren is Director of Strategic Area Health at Eindhoven University of Technology and chair Topsector Life Science & Health.
Catharina Hospital in Eindhoven is a modern, hospitable top-clinical and educational hospital.
Eindhoven University of Technology (TU/e) is a research university specializing in engineering science & technology.
Kempenhaeghe Epilpesy and Sleep Center is an expertise center for everyone with a (care) question about refractory epilepsy, sleep disorders and neurological learning and development disorders.
Máxima Medical Center (MMC) is the largest health care provider in Southeastern Brabant region of the Netherlands, serving the local and international community at our two campus facility.
Royal Philips is a leading health technology company focused on improving people’s health and enabling better outcomes across the health continuum from healthy living and prevention.