Stakeholder Perspectives on Trustworthy AI for Parkinson Disease Management Using a Cocreation Approach: Qualitative Exploratory Study
Our findings underline the importance of implementing robust security measures, developing transparent and explainable AI models, reinforcing bias mitigation and reduction strategies and equitable access to treatment, integrating human oversight, and considering the psychological impact of AI-assisted health care. These insights provide actionable guidance for developing trustworthy and effective AI-driven digital PD diagnosis and management solutions.
Authors
- Ghada Alhussein (ORCID: https://orcid.org/0000-0001-6181-8306)
- Sara Riggare (ORCID: https://orcid.org/0000-0002-2256-7310)
- Therese Scott Duncan (ORCID: https://orcid.org/0000-0003-4031-1965)
- Sofia B. Dias (ORCID: https://orcid.org/0000-0002-8239-583X)
- Leontios J. Hadjileontiadis (ORCID: https://orcid.org/0000-0002-9932-9302)
- Stelios Hadjidimitriou (ORCID: https://orcid.org/0000-0002-3676-6556)
- David M. Lyreskog (ORCID: https://orcid.org/0000-0001-6888-6272)
- Christos Chatzichristos (ORCID: https://orcid.org/0000-0002-9054-5340)
- Ioannis Gerasimou (ORCID: https://orcid.org/0000-0003-0581-0785)
- Beatriz Alves (ORCID: https://orcid.org/0009-0003-9127-2991)
- Ali Saad (ORCID: https://orcid.org/0009-0004-7353-4174)
Institutions
- Uppsala University (SE)
- University of Lisbon (PT)
- Khalifa University of Science and Technology (AE)
- Aristotle University of Thessaloniki (GR)
- Oxford Centre for Computational Neuroscience (GB)
- Sigma Technologies (United States) (US)
- KU Leuven (BE)
Publication Details
- Journal
- Journal of Medical Internet Research
- Published
- 2025-05-02
- DOI
- https://doi.org/10.2196/73710
- Citations
- 1
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.65