AI technology in healthcare can assist with diagnosis, developing a personalised treatment plan, and adequate follow-up. In contrast to, for example, building an MRI scanner, the development and inner workings of AI technology are substantially less well documented. Doctors and patients can, therefore, not trust the technology at a comparable level to the MRI scanner. In this ELSA lab, we study the technological, legal, and clinical-ethical aspects of AI technology that is certified to be used responsibly.
ELSA lab
Legal, Regulatory, and Policy Aspects of Clinical Decision Support Systems
- Duration
- 1 September 2025 until 31 August 2030
- Project member(s)
- Prof. P.T.J. Wolters (Pieter) Prof. F.J. Zuiderveen Borgesius (Frederik) Dr C. Utz (Christine) Dr A.C.P. Peeters (Anco) Dr B. Buruk (Banu) Dr M.L. De Paula Bueno (Marcos) , Dr Wico Mulder , Dr Dragan Doder , Prof Dr Medhi Dastani , Dr Hanny Pijnenborg
- Project type
- Research
Funding
AINed
Topsector ICT
SIDN fonds
Partners
Utrecht University
TNO
Radboudumc
Info Support
ICTRecht
Connected Care