Validation of acceXible's Automated Speech Analysis Method for the Early Detection and Monitoring of Patients With Mild Impairment or Dementia in Primary Care

Resumen breve

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. Thus, the purpose of this study is to validate speech analysis AI models.