Digital detection of Alzheimer's disease using smiles and conversations with a chatbot.

ABSTRACT: In super-aged societies, dementia has become a critical issue, underscoring the urgent need for tools to assess cognitive status effectively in various sectors, including financial and business settings. Facial and speech features have been tried as cost-effective biomarkers of dementia including Alzheimer's disease (AD). We aimed to establish an easy, automatic, and extensive screening tool for AD using a chatbot and artificial intelligence. Smile images and visual and auditory data of natural conversations with a chatbot from 99 healthy controls (HCs) and 93 individuals with AD or mild cognitive impairment due to AD (PwA) were analyzed using machine learning. A subset of 8 facial and 21 sound features successfully distinguished PwA from HCs, with a high area under the receiver operating

SUBMITTER: Takeshige-Amano H 

PROVIDER: S-EPMC11530557 | biostudies-literature | 2024 Nov

REPOSITORIES: biostudies-literature