Speech-Based Artificial Intelligence for Detection of Dementia in Danish Patients (DetectAI)

Sponsor
Zealand University Hospital
Study ID
NCT07200739
Status
Not Yet Recruiting

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Conditions

  • Alzheimer Dementia (AD)
  • Cognitive Impairment
  • Dementia (Diagnosis)
  • Depression - Major Depressive Disorder
  • Frontotemporal Dementia (FTD)
  • Lewy Body Dementia (LBD)
  • Mild Cognitive Impairment (MCI)
  • Stress
  • Vascular Dementia (VaD)

Eligibility Criteria

Sex
ALL
Age
50 Years - N/A
Healthy Volunteers
Accepted

Interventions

  • Mini-mental State Examination — DIAGNOSTIC_TEST
    Participants will be recorded during the test in order til allow the AI to learn and analyze speech patterns.
  • Addenbrooke's Cognitive Examination — DIAGNOSTIC_TEST
    Participants will be recorded during the test in order til allow the AI to learn and analyze speech patterns.
  • Speech Task - Picture Description — OTHER
    Participants will be asked to describe the Cookie Theft Picture from the Boston Diagnostic Aphasia Examination. The task will take 2 minutes. Participants will be recorded during the speech task in order to allow the AI to learn and analyze the speech patterns.
  • Speech Task - Picture Recall — OTHER
    Participants will be asked to recall the picture shown in the previous speech task "Picture Narrative". This task will take 2 minutes. Participants will be recorded during the test in order til allow the AI to learn and analyze speech patterns.
  • MRI — DIAGNOSTIC_TEST
    For healthy controls an MRI will be conducted to provide comparable imaging and as part of screening to ensure they do not meet exclusion criteria (neuroradiological findings that could affect cognitive functions). For patient participants, imaging will be performed as part of the standard diagnostic battery and results will be obtained from the electronic journal.
  • blood sampling — DIAGNOSTIC_TEST
    Healthy control participants will undergo a standard blood test panel commonly used in dementia diagnostics. The panel includes complete blood counts, inflammatory markers, kidney- and liver function markers, thyroid-stimulating hormone (TSH), vitamine B12 and folate. These tests are performed to exclude underlying medical conditions that could mimic cognitive impairment. For patient participants, blood sampling will be performed as part of the standard diagnostic battery and results will be obtained from the electronic journal.
  • Depression screening — DIAGNOSTIC_TEST
    Performed on healthy controls to rule out depression using either the geriatric depression scale (GDS) for patients \> 65 year of age or the Major Depression Index (MDI) for patiens \<65 year of age. For patient participants, depression screening will be performed as part of the standard diagnostic battery and results will be obtained from the electronic journal.
  • Somatic- and neurological examination — OTHER
    Healthy controls will undergo a standard somatic and neurological examination to exclude conditions that may affect cognition. This includes basic neurological assessment and clinical evaluation of general health status. For patient participants, a somatic and neurological examination will be performed as part of the standard diagnostic battery and results will be obtained from the electronic journal
  • Speech Task - Picture Narrative — OTHER
    The participant is asked to tell a brief story based on a culturally neutral picture. This task will take approximately 2 minutes. Participants will be recorded during the speech task in order to allow the AI to learn and analyze the speech patterns

Study Details

The goal of this observational study is to learn if an artificial intelligence (AI)-based speech analysis tool can identify which patients with memory problems need specialist evaluation at a memory clinic. The main questions it aims to answer are: Can the AI model accurately distinguish between patients who need referral to a memory clinic (those with dementia or Mild Cognitive Impairment) and patients who don't (those with normal cognition or memory problems from other causes like depression)? Which speech patterns and cognitive test features are most useful for making this distinction? Researchers will compare speech recordings and cognitive test results from patients diagnosed with dementia or MCI to those from patients with normal cognition or non-neurodegenerative cognitive impairment to see if the AI model can reliably predict who needs specialist dementia care. Participants will: Complete standard cognitive tests at the memory clinic Perform structured speech tasks while being audio-recorded Receive their usual clinical evaluation and diagnosis from memory clinic specialists The results of this study will help develop a tool that can assist doctors in making faster, more accurate decisions about which patients need specialist dementia evaluation, potentially leading to earlier diagnosis and better patient outcomes.

Key Dates

First listed
Oct 1, 2025
Start date
Jun 1, 2026
Status verified
Jan 2026
Primary completion
May 31, 2028
Completion
Jul 31, 2028

Study Design

Enrollment
440 participants (estimated)

Arms

  • Arm: Cognitively Healthy Control Participants for Model A
    We seek to enroll 40 age-matched cognitively healthy control participants for the training of model A.
  • Arm: Patient Participants for Model A
    We seek to retrospectively enroll patients from the ZUH memory clinic with a diagnosis of either Alzheimer's Disease (AD, n=50) or MCI (n=50), made within 6 months prior to enrollment. These participants will be used for the training of model A.
  • Arm: Patient Participants for Model B
    We will prospectively recruit newly referred patients for the memory clinic at ZUH. Enrollment happens at first patient visit. At this time, diagnosis is not yet known, but assumed present.

Primary Outcome Measure

Model A: Primary measure is the AUC-ROC of the model in distinguishing between MCI and AD as well as between MCI and cognitively healthy control participants. [ Time Frame: At baseline (speech recording) ]

Central Contacts

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