Dementia (Diagnosis)

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.

This study aims to evaluate the efficacy of community-based early detection and targeted interventions, including stem cell therapy and wearable non-invasive brain-computer interface (BCI) devices, for Mild Cognitive Impairment (MCI) in adults aged 55 years and older residing in U.S. urban and suburban communities. Primary objectives include assessing improvements in MCI detection rates, cognitive outcomes, and progression delay compared to standard care.

This study aims to determine whether loneliness is associated with a higher incidence of dementia in older adults with a prior diagnosis of mild cognitive impairment after 12 months of follow-up.

Dementia is observed in 80% of people living with advanced stage Parkinson's disease, however, there are inadequate opportunities for early and effective diagnosis of dementia in current clinical practice. This study aims to identify whether a new tool called PDCogniCare, can improve detection of dementia in people living with Parkinson's disease, and to explore what factors might influence its use in healthcare services.