The Diagnostic Image Analysis Group is part of the Departments of Imaging, Pathology, Radiation Oncology, Cardiology, and Neurology of Radboud University Medical Center. We develop computer algorithms to interpret and process medical images.
Outcomes of a retrospective external validation of a deep learning model for lung cancer screening - showing nearly 40% fewer false positives - are now published! Read more →
Starting the 1st of August 2025, Henkjan Huisman is appointed Full Professor of AI Guided Imaging at Radboudumc. Read more →
Francesco Ciompi, in collaboration with JBZ, receives grant for ENDO-AID 2.0: Enhancing ENDOmetrial biopsy Artificial Intelligence assisted Diagnosis. Read more →
Outcomes of an international observer study with 61 radiologists (34 experts, 27 nonexperts from 53 centers in 17 countries) on AI-assisted vs unassisted identification of prostate cancer in MRI are now published! Read more →