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Novel Neuroradiological Workflow for the Assisted DIAgnosis and Management of DEMentia with Artificial Intelligence

NCT06877182 · Status: ACTIVE_NOT_RECRUITING · Type: OBSERVATIONAL · Enrollment: 80000

Last updated 2025-03-19

No results posted yet for this study

Summary

Identifying, screening and monitoring individuals at risk of Alzheimer's disease (AD) and dementia is a formidable challenge. Neuroimaging, and in particular magnetic resonance imaging (MRI), is crucial to detect structural neurodegeneration. However, current quantification tools are mainly limited to research contexts and produce non-standardised results. DIADEMA will build a systematic and standardised workflow to support neuro(radio)logical diagnosis. By combining artificial intelligence (AI) and machine learning (ML) the investigators will significantly enhance the clinical diagnosis of AD in neuroradiology. The investigator's main hypothesis is that an efficient workflow and associated higher diagnostic accuracy will substantially reduce healthcare costs, support clinical decision-making, provide second-opinion tools and improve patient care. This dual advance will have a profound impact on the healthcare system, marking an important step in the fight against Alzheimer's disease and dementia.

Conditions

Interventions

DIAGNOSTIC_TEST

Magnetic Resonance Imaging with Contrast

To evaluate the possibility to improve the neuroradiologic workflow with AI models

Sponsors & Collaborators

  • UNINA

    collaborator UNKNOWN

  • UNITO

    collaborator UNKNOWN

  • Ospedale Fate bene Fratelli di Brescia

    collaborator UNKNOWN

  • IRCCS SYNLAB SDN

    lead OTHER

Principal Investigators

  • Marco Aiello · IRCCS SYNLAB SDN

Eligibility

Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2024-08-30
Primary Completion
2025-12-30
Completion
2027-08-31

Countries

  • Italy

Study Locations

More Related Trials

Entities

Diseases

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT06877182 on ClinicalTrials.gov