Healthcare / trustworthy AI co-designhealthcareParticipation documented
Co-Design of a Trustworthy AI System in Healthcare
Kaiserslautern, Germany
The paper and supporting materials describe a co-design process involving patients, clinicians, ethicists, and engineers around a skin-lesion classifier and its trustworthy use.
trustworthy AIhealthcare ethicsmultidisciplinary co-designproblem formulationdesignevaluationdeployment review
- Region
- Europe
- Lead organization
- Z-Inspection® initiative; DFKI and multidisciplinary collaborators
- Organization type
- research consortium
- Technology group
- deep learning / diagnostic support
- Activity status
- published_case
- Start year
- 2021
- Last updated
- Mar 25, 2026
- Participation mode
- patients, clinicians, and ethicists co-design diagnostic AI
- Participants
- patients; clinicians; ethicists; AI engineers
- Methods
- co-design; multidisciplinary workshops; ethical review
- AI lifecycle stages
- problem formulation; design; evaluation; deployment review
- Evidence summary
- The paper and supporting materials describe a co-design process involving patients, clinicians, ethicists, and engineers around a skin-lesion classifier and its trustworthy use.
- Atlas assessment
- Cautious · Medium confidence · evidence grade B
- Uncertainty
- Stakeholder co-design is clearly described in the paper, but public project documentation outside the publication is limited.
- Participation group
- Co Design
- Technology description
- deep learning / diagnostic support
- Funding
- Not documented
- Region of activity
- international
- Verification status
- Paper Verified
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