Preliminary Research Using Artificial Intelligence Technology to Identify Differences in Facial Expressions Between Healthy People, Patients With Cognitive Decline, and Patients With Dementia

National Taiwan University Hospital60 enrolled

Overview

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.

Study Type

OBSERVATIONAL

Enrollment

Conditions

Artificial Intelligence Technology Cognitive Decline Dementia Identify Facial Expressions

Eligibility

Sex: ALLMin age: 50 YearsMax age: 75 YearsHealthy volunteers:

Medical Language ↔ Plain English

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.

Outcomes

Primary Outcomes

Facial Expression Test

(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.

Time frame: 2024/8/1-2025/10/31