Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/73710, first published .
Stakeholder Perspectives on Trustworthy AI for Parkinson Disease Management Using a Cocreation Approach: Qualitative Exploratory Study

Stakeholder Perspectives on Trustworthy AI for Parkinson Disease Management Using a Cocreation Approach: Qualitative Exploratory Study

Stakeholder Perspectives on Trustworthy AI for Parkinson Disease Management Using a Cocreation Approach: Qualitative Exploratory Study

Beatriz Alves   1 , MSc ;   Ghada Alhussein   1, 2 , PhD ;   Sara Riggare   3 , PhD ;   Therese Scott Duncan   3 , PhD ;   Ali Saad   4 , PhD ;   David M Lyreskog   5 , PhD ;   Christos Chatzichristos   6 , PhD ;   Ioannis Gerasimou   7 , MSc ;   Stelios Hadjidimitriou   7 , PhD ;   Leontios J Hadjileontiadis   2, 7 , PhD ;   Sofia B Dias   8 , PhD ;   AI-PROGNOSIS Consortium   9

1 Faculdade de Motricidade Humana, University of Lisbon, Lisbon, Portugal

2 Department of Biomedical Engineering and Biotechnology, Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates

3 Department of Women’s and Children’s Health, Uppsala University, Uppsala, Sweden

4 AINIGMA Technologies, Leuven, Belgium

5 Neuroscience, Ethics & Society (NEUROSEC), Department of Psychiatry, University of Oxford, Oxford, United Kingdom

6 Department of Electrical Engineering (ESAT), STADIUS Center for Dynamical Systems, Signal Processing and Data Analytics, KU Leuven, Leuven, Belgium

7 Department of Electrical Computer Engineering, Aristotle University of Thessaloniki, Thessaloniki, Greece

8 Center of Interdisciplinary Study of Human Perfomance (CIPER), Faculdade de Motricidade Humana, University of Lisbon, Lisbon, Portugal

9 See Acknowledgments

Corresponding Author:

  • Sofia B Dias, PhD
  • Center of Interdisciplinary Study of Human Perfomance (CIPER), Faculdade de Motricidade Humana
  • University of Lisbon
  • Estrada da Costa, Cruz Quebrada, Dafundo
  • Lisbon 1499-002
  • Portugal
  • Phone: 351 214 149 100
  • Email: sbalula@fmh.ulisboa.pt