Medical Physics, AI and Neurotechnology · University of Rome Tor Vergata

fismed@uniroma2.it

FISMED / PROJECTS

DIADEMA

A collaborative research project developing a standardised workflow for quantitative MRI analysis in dementia research. DIADEMA combines artificial intelligence and image processing, with testing and validation of methods for reproducible feature extraction and interpretation.

Active2024–2026research grant

Italian Health Ministry

DIADEMA / Novel neuroradiological workflow for the assisted DIAgnosis and management of DEMentia with Artificial intelligence

DIADEMA develops and validates an artificial intelligence workflow to assist radiologists in diagnosing neurodegenerative disease from routine brain imaging. The project addresses the need for consistent interpretation of structural MRI biomarkers and for methods that can also work with more accessible CT scans. Its research seeks disease-specific markers and automated procedures that classify images consistently and answer defined clinical questions. Imaging researchers contribute expertise in designing and validating analysis protocols, while neuroinformatics researchers implement the diagnostic models. The aim is to turn advanced image-analysis methods into reliable tools that support everyday clinical assessment of dementia.

Co-PI

Project details
Research partners
IRCCS SYNLAB SDN · IRCCS Centro San Giovanni di Dio Fatebenefratelli
Programme
Research support
Grant / award ID
PNRR-MCNT2-2023-12378268
Total project award€989,150
Explore related research

Connections indicate shared research topics, not authorship or project participation.

Brain imaging · Image analysis · Structural MRI · MRI analysis · Image processing