AI-Based Speech Analysis Tool Shows Promise in Detecting Cognitive Impairment and Dementia
C. Munro Cullum, Ph.D., Professor of Psychiatry, Neurological Surgery, and Neurology and Vice Chair and Chief of the Division of Psychology at UT Southwestern, holds the Pam Blumenthal Distinguished Professor in Clinical Psychology. UT Southwestern Medical Center led research reveals a novel speech analysis tool utilizing artificial intelligence successfully identified mild cognitive impairment and dementia in a Spanish-speaking population. Published in Frontiers in Neurology, the study suggests the algorithm could serve as an early screening tool, aiding in the identification of individuals at risk of developing dementia. Spearheaded by C. Munro Cullum, Ph.D., Professor of Psychiatry, Neurological Surgery, and Neurology, the research highlights the potential of machine learning-based tools in rapidly screening for cognitive impairment, particularly in large-scale research studies. Data from 195 Spanish speakers, part of a multicenter clinical trial in Spain, provided insights for the study, with the algorithm trained on language tasks collected via the AcceXible platform, showing promising results for future cognitive screening endeavors.
AI-Based Speech Analysis Tool Shows Promise in Detecting Cognitive Impairment and Dementia
