We’re pleased to share a significant advancement from the PANCAIM project – The first ever implementation of a PANCAIM AI algorithm for earlier detection of pancreatic cancer on CT!
In our pursuit of generating breakthrough knowledge to increase understanding of PDAC biology and patient stratification for pancreatic cancer by the seamless AI–powered integration of genomics, medical imaging and clinical data in order to optimize treatment strategies in a personalised medicine approach, PANCAIM has now reached an important moment.
Last year, Radboudumc developed and published an AI algorithm that has been demonstrated to detect PDAC cancers on CT images that can easily be overlooked even by experienced radiologists, At the project meeting in July, this algorithm was for the first time implemented via the teamplay digital health platform, a cloud platform owned by project partner Siemens Healthineers, on a real, new pancreatic cancer case at the Karolinska Institutet.
Read our full press release here.
With the novel secure and privacy-preserving edge computing approach of Teamplay, which is already in use at thousands of hospitals worldwide, the sensitive data of cancer patients stays within the hospital, paving the way towards widespread validation of the PANCAIM AI-algorithms in clinical routine settings. After 2.5 years of collaboration in PANCAIM, this first real application is a significant milestone for the project and pancreatic cancer research as a whole!
As we celebrate this technical milestone, we’d like to thank our partners for their excellent collaboration, expertise, and a commitment to advancing pancreatic cancer diagnosis and treatment.
The project will now focus on upscaling developed unimodal AI algorithms, drive forward the development of multimodal AI models and start the clinical validation process required in order to implement these algorithms routinely in the clinical workflow to offer AI-based decision-making support to clinicians in diagnosis and treatment of pancreatic cancer.
