Radboud AI for Health is a collaboration between Radboud University and Radboudumc. The lab works on innovations in the field of Artificial Intelligence that improve healthcare, make it cheaper and improve decision-making.
The Radboud AI for Health lab is part of Radboud AI, the campuswide initiative to stimulate public-private partnerships and to start new AI research projects in Nijmegen and the surrounding area. The innovations developed by the lab will be applied in Radboudumc and other healthcare institutes. 6 PhD students are working on projects on AI applications in the hospital. In addition, the lab researchers supervise around 35 projects of Bachelor and Master students every year. Radboud AI for Health also provides two specific training courses for employees of the Radboudumc each year to further train them in the field of Artificial Intelligence and its application in healthcare.
‘We just do it!’
Paul Smits, chairman of the Radboudumc Board of Director: “With Radboud AI for Health and Thira Lab we are taking a major step forward in the application of Artificial Intelligence in healthcare. As Radboudumc, we work with the partners in our network on a daily basis to create workable innovations that make healthcare better and cheaper. Artificial Intelligence plays a crucial role in this. With these initiatives, we once again confirm our regional and national cooperation agenda, which we are bringing together in the TopFit program. I am proud that we have succeeded in realizing these initiatives in less than a year; we just do it!”
AI and healthcare
Healthcare is seen as one of the areas where AI will have a profound impact. Data is ubiquitous in hospitals, and is available in a many forms: patient records, clinical signs and measurements, genetic information, text reports, and images. This data forms the basis for decisions, the diagnosis of a disease, detection of acute and long-term risks, treatment plans, treatment monitoring, and real-time support for example during surgery and interventions.
Artificial intelligence can support clinical decisions, assist in numerous ways, improve healthcare by finding better ways to extract clinically useful information from data, and automate tasks and thereby reduce costs and keep healthcare affordable. By carrying out projects within hospitals, the vast amounts of data available in healthcare can be unlocked for research, of course always in compliance with privacy regulations and ethical standards, and this makes healthcare an interesting domain for AI researchers.
Radboud AI is a campus-wide initiative to improve collaboration and start new projects with AI researchers in Nijmegen.
Radboudumc Innovation Space houses BSc and MSc students who perform AI research projects in collaboration with Radboudumc clinicians.
