This phase lays the foundation by gathering, processing, and preparing clinical data from hospital partners.

Deliverables:

-Unified data collection system

-Semi-automated annotation platform

-Master list of clinical data collected

Here, advanced AI models are created to interpret and analyze multimodal health data, combining MRI, EEG, and clinical profiles.

Deliverables:

-AI models for diagnostic assistance

-Monitoring and alert interface

-Explainability and interpretability framework

This WP turns AI insights into usable tools for clinicians and patients, focusing on accessibility and practical integration.

Deliverables:

-Build and test clinical interfaces and monitoring dashboards

-Real-world testing of tools

-Recommendations for clinical integration

Focuses on using AI to support diagnosis and prognosis in mood disorders and severe psychiatric conditions.

Deliverables:

-Apply AI models to real patient care

-Clinical uptake reports

-Diagnostic and prognostic performance assessments

Centers on early detection and prediction of neurodegenerative diseases using multimodal data.

Deliverables:

-Deploy AI models in real clinical settings

-Collect and annotate cognitive patient data

-Model usability and diagnostic impact reports