The Diagnostic Image Analysis Group is part of the Departments of Radiology and Nuclear Medicine, Pathology, and Ophthalmology of Radboud University Medical Center. We develop computer algorithms to aid clinicians in the interpretation of medical images and thereby improve the diagnostic process.
The group has its roots in computer-aided detection of breast cancer in mammograms, and we have expanded to automated detection and diagnosis in breast MRI, ultrasound and tomosynthesis, chest radiographs and chest CT, prostate MRI, neuro-imaging and the analysis of retinal and digital pathology images. The technology we primarily use is deep learning.
It is our goal to have a significant impact on healthcare by bringing our technology to the clinic. We are therefore fully certified to develop, maintain, and distribute software for analysis of medical images in a quality controlled environment (MDD Annex II and ISO 13485).
On this site you find information about the history of the group and our collaborations, an overview of people in DIAG, current projects, publications and theses, contact information, and info for those interested to join our team.
On the 21st of April, the Hands-on with artificial intelligence (AI) workshop was hosted at the Radiology and Nuclear Medicine Department of Radboudumc. Participants were given the chance to try out software demos from 9 companies from across 7 countries in order to experience the benefits of working with artificial intelligence in the field of radiology. Seventy radiologists were confronted not only by how AI can be of invaluable aid in daily practice, but also how certain tasks can be completely taken over by the computer. Not only in the future, but today! Credits to the organizing team, collaborators, and participants for turning this day into the success that it was..
More Research Highlights.