Lead and main contact for ICAI Nijmegen: Bram van Ginneken (


Interested in an AI for Health Master internship in Nijmegen? Take a look here for the possibilities.

AI for Precision Health, Nutrition & Behaviour is a collaboration between Radboud University, OnePlanet Research Center, Radboudumc, Wageningen University & Research and nine industry partners. This lab focuses on the development of AI solutions for encouragement of healthy behaviour in humans, with a specific focus on precision health and nutrition. The first aim of the lab is to increase the richness and quality of health, dietary and behavioural data by monitoring health using various or novel sensors. The second aim is to develop smart AI algorithms and machine learning techniques to extract more relevant outcomes and knowledge from these data. The final aim is to improve the personalized lifestyle feedback generated from these measurement to coach in the direction of healthier behaviour.

The AI for Risk Profiling and Decision Support (AI-RONDO) lab is a collaboration of Radboud University, Radboudumc, OnePlanet Research Center, ANT Neuro, Artinis Medical Systems, imec-NL, InfoSupport, NIVEL, Noldus Information Technology, Orikami Personalized Healthcare, ParkinsonNet, Stichting Open Spraaktechnologie, and Virtask. The lab focuses on the development of AI solutions for closed-loop systems that support the detection and monitoring of symptoms related to neuro-degenerative conditions, for risk profiling and decision support. The mission of the AI-RONDO lab is to create applications that add value to people living with a neuro-degenerative condition. The lab focuses on innovative technologies that collect data in free- living situations, combining unobtrusive sensor systems, active task-based sensor data and patient reported outcomes. Such a deep phenotypic approach will help us understand impaired brain functioning as well as its clinical manifestation. The lab envisions to develop AI algorithms and tools that are incorporated into closed loop systems to support risk detection and decision making, allowing for personalized feedback to patients and healthcare professionals and adaptive control mechanisms.

Donders AI for Neurotech Lab is a collaboration between Donders Institute for Brain, Cognition and Behaviour, Radboud University, Phosphoenix, Advanced Bionics, Oneplanet Research Center and Abbott. The lab is working on the development of the next generation AI-driven neurotechnologies. The aim of the researchers is to develop machine learning solutions for brain reading and writing that restore sensory and cognitive function (vision in the blind, audition in the deaf, seizure suppression in epilepsy, as well as communication and control in the paralyzed).

Radboud AI for Health is a collaboration between Radboud University and Radboudumc, and is part of Radboud AI , a campus-wide initiative to improve collaboration and start new projects with AI researchers in Nijmegen. Radboud AI for Health has awarded 6 Ph.D. positions, aimed to bring a variety of AI solutions to the clinic. We hope that a second call for Ph.D. positions can be launched soon. Radboud AI for Health, located in the Radboudumc Innovation Space , will also house BSc and MSc students who perform AI research projects in collaboration with Radboudumc clinicians. Finally, the Lab offers courses to Radboudumc employees who want to learn more about the application of AI in healthcare.

Thira Lab comprises 9 researchers: 6 PhD students and 3 postdocs. The mission of Thira Lab is to perform world-class research to strengthen healthcare with innovative imaging solutions. The lab strives to automatically interpret medical images with the aid of deep learning. Research projects in the lab will focus on recognition, detection, and quantification of objects and structures in images, with an initial focus on applications in the area of chest CT, radiography, and retinal imaging.