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

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.

NCT Number	NCT07200739
Lead Sponsor	Zealand University Hospital Collaborators: DemensAI ApS (private tech partner, Denmark)
Conditions	Dementia (Diagnosis), Alzheimer Dementia (AD), Vascular Dementia (VaD), Lewy Body Dementia (LBD), Frontotemporal Dementia (FTD), Mild Cognitive Impairment (MCI), Depression - Major Depressive Disorder, Stress +1 more
Enrollment	440 participants
Start Date	2026-06-01
Primary Completion	2028-05 (estimated)
Study Completion	2028-07 (estimated)
Updated on ClinicalTrials.gov	2026-05-05