Legal, Regulatory, and Policy Aspects of Clinical Decision Support Systems
Universiteit Utrecht, Faculteit Bètawetenschappen, Departement Informatica, Intelligent Systems , Radboud Universiteit Nijmegen, Faculteit der Natuurwetenschappen, Wiskunde en Informatica, Institute for Computing and Information Sciences (ICIS), Digital Security (DiS) Group , Radboud Universiteit Nijmegen, Donders Institute - Donders Institute for Brain, Cognition and Behaviour , Radboud Universiteit Nijmegen, Faculteit der Rechtsgeleerdheid , Radboud Universiteit Nijmegen, Faculteit der Sociale Wetenschappen, Artificiële intelligentie , TNO
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Universiteit Utrecht, Faculteit Bètawetenschappen, Departement Informatica, Intelligent Systems , Radboud Universiteit Nijmegen, Faculteit der Natuurwetenschappen, Wiskunde en Informatica, Institute for Computing and Information Sciences (ICIS), Digital Security (DiS) Group , Radboud Universiteit Nijmegen, Donders Institute - Donders Institute for Brain, Cognition and Behaviour , Radboud Universiteit Nijmegen, Faculteit der Rechtsgeleerdheid , Radboud Universiteit Nijmegen, Faculteit der Sociale Wetenschappen, Artificiële intelligentie , TNO
AI technology in healthcare can assist with diagnosis, development of a personalised treatment plan, and adequate follow-up. In contrast to, for example, building an MRI scanner, the development and inner working of AI technology is substantially less well documented. Doctors and patients can therefor not trust the technology at a comparable level as 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.
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