Radboud AI for Health is an ICAI lab where Radboud University and Radboudumc collaborate to create AI innovations in healthcare. We offer courses for professionals, BSc/MSc student projects and PhD projects.
The Gleason score suffers from significant inter-observer variability. This problem could be solved by the fully automated deep learning system developed by Wouter Bulten and his colleagues. Their work appeared in The Lancet Oncology last month. Read more →
Radboud AI for Health was opened this Monday by Radboudumc's Chair of the Executive Board, Paul Smits. Read more →
AI courses for health(care) professionals with a background in Medicine, Biomedical Sciences or Technical Medicine.
Read more →AI for Health organizes a weekly meeting that allows the PhD candidates and students to present their work in progress and discuss their plans for the future.
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