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Assessing the Diagnostic Accuracy of a Three One-minute Tests of Verbal Fluency, Using Artificial Intelligence, in Detecting Mild Cognitive Impairment and Early Dementia.
Dementia, especially dementia caused by Alzheimer's disease, is considered one of the most severe health problems of our time. It is currently known that the disease begins many years before clinical symptoms appear. The sooner the patient is diagnosed, the sooner the patient will be in a position to prevent further deterioration. A recent orientation is the analysis of language in relation to the description of images with a high and varied semantic and emotional content. It can be studied that changes in the description of an image check if these changes are associated with the evolution of a person with probable impairment both in memory and cognitive as well as emotional, psychiatric, behavioral and even in their interaction with environmental factors especially those associated with socialization and loneliness. The present study has the objective of validating a digital method for detection and follow-up of patients with mild cognitive impairment (MCI) or dementia in a memory clinic setting.
Age
55 - 90 years
Sex
ALL
Healthy Volunteers
No
Cornwall Partnership NHS Foundation Trust
Cornwell, United Kingdom
Start Date
August 1, 2022
Primary Completion Date
December 31, 2023
Completion Date
December 31, 2023
Last Updated
September 10, 2022
248
ESTIMATED participants
Accexible
DEVICE
Lead Sponsor
Accexible
Collaborators
Data Source & Attribution
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