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This paper is in the following e-collection/theme issue:

Artificial Intelligence (4698) Neurology and Neurosciences (382) Focus Groups and Qualitative Research for Human Factors Research (1531) Chronic Conditions (554) Computer-Aided Diagnosis (416) Ethical, Legal, and Social Issues in AI (208)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/73710, first published .
Diverse group of healthcare professionals discussing AI in healthcare on tablets and laptop

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

Authors of this article:

Beatriz Alves1 Author Orcid Image ;   Ghada Alhussein1, 2 Author Orcid Image ;   Sara Riggare3 Author Orcid Image ;   Therese Scott Duncan3 Author Orcid Image ;   Ali Saad4 Author Orcid Image ;   David M Lyreskog5 Author Orcid Image ;   Christos Chatzichristos6 Author Orcid Image ;   Ioannis Gerasimou7 Author Orcid Image ;   Stelios Hadjidimitriou7 Author Orcid Image ;   Leontios J Hadjileontiadis2, 7 Author Orcid Image ;   Sofia B Dias8 Author Orcid Image ;   AI-PROGNOSIS Consortium9
Article Authors Cited by (2) Tweetations (8) Metrics

Journals

  1. García-Montero C, Fraile-Martínez O, Boaru D, de Castro-Martínez P, Díaz-Pedrero R, López-González L, Sáez M, Álvarez-Mon M, Ortega M. Del algoritmo al paciente: el impacto de la inteligencia artificial en la práctica médica. Medicine - Programa de Formación Médica Continuada Acreditado 2025;14(46):2756 View
  2. Zeng M, Chen T, Wang Y, Hu C, Yin X, Shen C, Wang X. Functional nanoprobes for early diagnosis and precision theranostics of Parkinson's disease: a review of material strategies and multimodal sensing. Journal of Materials Chemistry B 2026 View