Artificial Intelligence Technology, Cognitive Decline, Dementia, Facial Expressions, Identify
Conditions
Keywords
artificial intelligence technology, cognitive decline, dementia
Brief summary
Through artificial intelligence technology, we have conducted a preliminary study aimed at identifying differences in facial expressions among healthy individuals, patients with cognitive decline, and dementia patients. This research offers a novel method and tool for dementia screening, contributing to effective strategies for dementia prevention in our country. By utilizing this approach, we can effectively delay the onset of disability, promote healthy aging among our elderly population, reduce the caregiving burden on individuals, families, and society, and lower medical expenses.
Interventions
None listed
Sponsors
Study design
Eligibility
Inclusion criteria
Age between 50 and 75 years. * Experimental group: * MCI group: CDR score of 0.5 or MMSE score between 20-25 (mild/early stage). * Dementia group: CDR score greater than 1 or MMSE score between 10-19 (moderate/middle stage). * Control group: * Health group: MMSE score of 26 or above. * Participants must be conscious and able to follow instructions.
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Facial Expression Test | 2024/8/1-2025/10/31 | (A) Participants will sit in front of a computer screen and watch videos depicting positive (happy) or negative (sad) emotional stimuli. Each video will be less than 60 seconds long. (B) Participants will undergo the memory recall and calculation ability tests included in the MMSE. (C) While participants are undergoing the tests, video recording equipment will be used to observe and record the facial expression responses of the three groups. |
Countries
Taiwan