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AI-PROGNOSIS consortium focuses on 8 ambitious key objectives in the field of Parkinson’s Disease (PD).

Stakeholders needs definition and engagement

Define the needs of relevant stakeholders and effectively engage them in the development of tailored AI-driven tools for PD risk assessment and prognosis.

Ethical and trustworthy AI principles

Develop and evaluate AI-PROGNOSIS tools according to ethical, inclusive, and trustworthy AI principles with an emphasis on transparency, data protection, safety, and robustness.

Novel AI models

Develop novel, robust AI models for personalised PD risk assessment and prognosis, mining multi-source, health-relevant databases, and biobanks.

Digital biomarkers

Set up a system of digital biomarkers for objective, privacy-aware tracking of key PD risk and progression markers in daily living.

Set of trustworthy tools

Translate the digital biomarkers and AI models for PD risk assessment and prognosis into a set of trustworthy tools for empowering persons with/without PD and healthcare professionals with relevant insights.

AI-PROGNOSIS tools clinical performance validation and acceptance

Validate the incremental clinical performance and acceptance of the AI-PROGNOSIS tools in diverse cohorts and define the clinical utility assessment criteria.

Exploitation and regulatory approval

Develop an exploitation and regulatory approval strategy for AI-PROGNOSIS tools and outcomes.

Openness, visibility and reuse

Ensure openness, visibility, and reuse of AI-PROGNOSIS approaches and outcomes through open science, effective dissemination / communication, and strategic networking / joint activities.

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