Descriptive case study reveals an ethical co-design framework for AI in acute stroke, demonstrating how trustworthy principles translate into technical and clinical requirements.
Key Points
To implement and evaluate an ethically aligned co-design methodology during the early development phase of an AI-based prognostic tool for acute ischaemic stroke.
Conducted a descriptive, process-oriented case study applying the Z-Inspection® framework within the Horizon Europe VALIDATE project.
Convened an interdisciplinary panel of ethics experts, AI developers, and clinical stakeholders to systematically analyze ethical, legal, and technical factors.
Identified 22 ethical issues, 12 ethical dilemmas, and 18 operational risks inherent to prognostic AI implementation.
Formulated 48 actionable requirements across technical, clinical, governance, and organizational domains mapped to European Commission trustworthy AI principles.
Cite This Study
Hofvenschioeld et al. (2026) studied this question.