Parkinson disease (PD) is the fastest-growing neurodegenerative disorder in the world, with prevalence expected to exceed 12 million by 2040 – posing significant health care and societal challenges.

Artificial intelligence (AI) systems and wearable sensors hold potential for PD diagnosis, personalized symptom monitoring, and progression prediction. Nonetheless, ethical AI adoption requires several core principles: user trust, transparency, fairness, and human oversight.

This study, part of the AI-PROGNOSIS project, explores the perspectives of individuals living with PD, health care professionals, AI experts, and bioethicists to guide the development of AI-driven digital health solutions. The goal: ensure transparency, data security, fairness, bias mitigation, and robust human oversight.

Read the full publication: https://www.jmir.org/2025/1/e73710