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.
Study Type
OBSERVATIONAL
Enrollment
248
Speech Analysis
Cornwall Partnership NHS Foundation Trust
Cornwell, United Kingdom
RECRUITINGDiagnostic performance of Accexible's digital screening battery
Measure the odds that a patient has MCI or dementia measured by vocal biomarkers
Time frame: An average of 1 year
Correlation of Accexible's test battery with the ACE III
Comparison of Accexible's test battery with ACE III diagnostic predictive value at various cut-off points (e.g. 82 and 88 for ACE III)
Time frame: An average of 1 year
This platform is for informational purposes only and does not constitute medical advice. Always consult a qualified healthcare professional.