About the initiative
Want to cite this website?Please refer to www.AIforRadiology.com and/or our related publication.
van Leeuwen, K.G., Schalekamp, S., Rutten, M.J.C.M. et al. Artificial intelligence in radiology: 100 commercially available products and their scientific evidence. Eur Radiol 31, 3797–3804 (2021). https://doi.org/10.1007/s00330-021-07892-z
Increasing transparency in AI for radiology
AI for Radiology increases transparency in the commercial artificial intelligence software available for radiology. The supply of commercial software products has rapidly increased. For the potential customers, it might not always be clear what is out there, with what regulatory clearance, and at what maturity level. Therefore, we want to increase transparency in the available AI software for radiology in Europe and aid the selection and implementation of such software.
The most comprehensive overview
We provide an overview of available AI based software for clinical radiology practice. The focus is on the European market, therefore CE certification is a requirement for software to be on the main product page. Vendors are asked to provide information about their products ensuring high quality information. If not provided, the company and product profile will be more limited and consisting of public information (from e.g. websites, news articles, etc.). Currently, we are the most comprehensive overview out there.
We are independent
The data aggregation and maintenance of this website is performed by the Diagnostic Image Analysis Group (DIAG) from the Radboud university medical center in the Netherlands. DIAG is a research group and we have no commercial interest in this project. We do not receive any funding from the listed vendors.