Fast track to clinical innovation
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.
Given that the main purpose of e/MTIC is to provide a “Fast track to clinical innovation”, Artificial Intelligence is an extremely important instrument to support this goal. Both in clinical decision support in general, and in-patient monitoring and image analysis in particular, novel AI techniques provide powerful approaches to identify patient deterioration at an earlier stage, diagnose conditions more accurately, better guide treatment, and improve secondary prevention.
ICAI is a Dutch network aimed at technology and talent development between knowledge institutes, industry, and government in the area of artificial intelligence.
e/MTIC AI Health projects
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.
From Bench to Bedside ->
Carmen van Vilsteren
Frans van de Vosse
Academic DirectorFrans van de Vossef.n.v.d.vosse@ tue.nl
Lab ManagerCarmen van Vilsterenc.f.m.v.vilsteren@ tue.nl
Academic DirectorJan Bergmansj.w.m.bergmans@ tue.nl