Responsible AI / Clinical care / Ongoing
RACliDeS
Making responsible AI a shared practice.
When AI supports treatment decisions, clinicians and patients need to understand its reasoning and know who remains accountable. RACliDeS addresses those questions through a twelve-month co-creation process with researchers, clinicians, patient representatives and AI designers.
The work centres on ENDORISK, a model for estimating the risk of lymph-node metastasis in endometrial cancer. Structured workshops connect legal and regulatory, medical-ethical, human–technology interaction and AI perspectives.
The goal is practical foundations for responsible, explainable AI in shared clinical decision-making.
Partners
Led by Radboud University, with Utrecht University, Radboudumc, Hanze Hogeschool, ConnectedCare, ICTRecht, NEN, Isala and NFK.
Funding
Funded through the Topsector ICT PPSi scheme within the AINed ELSA Lab on Clinical Decision Support Systems.