Clinical trial NCT06877182: Novel Neuroradiological Workflow for the Assisted DIAgnosis and Management of DEMentia with Artificial Intelligence
Official title: Novel Neuroradiological Workflow for the Assisted DIAgnosis and Management of DEMentia with Artificial Intelligence
Study type: OBSERVATIONAL
Overall status: ACTIVE_NOT_RECRUITING
Conditions: Alzheimer Disease
Dementia
Keywords: Neuroimaging
Artificial Intelligence (AI)
Dementia
Assisted Diagnosis
Magnetic Resonance Imaging (MRI)
Lead sponsor: IRCCS SYNLAB SDN
Sponsor class: OTHER
Collaborators: name: UNINA
name: UNITO
name: Ospedale Fate bene Fratelli di Brescia
First posted: 2025-03-14
Enrollment: 80000
Sex: ALL
Standard ages: CHILD
ADULT
OLDER_ADULT
Accepts healthy volunteers: no
Observational model: COHORT
Time perspective: RETROSPECTIVE
Sampling method: NON_PROBABILITY_SAMPLE
Study population: Patients who perform brain magnetic resonance during the last 20 years

Brief 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.


Eligibility criteria: Inclusion Criteria:

* patients who perform brain magnetic resonance during the last 20 years

Exclusion Criteria:

-

Primary outcomes:
measure: Improvement of the neuroradiological workflow performance
timeFrame: 1-36 month
Secondary outcomes:
Other outcomes:
Locations:
city: Naples
country: Italy
facility: Irccs Synlab Sdn
Study officials:
affiliation: IRCCS SYNLAB SDN
name: Marco Aiello
role: PRINCIPAL_INVESTIGATOR
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