An Automatic and Speech-based Cross-Lingual Classification Framework for Early Screening of Cognitive Impairment
Published in , 2024
In this paper, we construct a novel framework that leverages several AI methods for automatically screening cognitive impairment (CI) based on the Cookie Theft picture description task with a multilingual dataset. It holds a high potential for clinical application in early AD detection as it’s fully automatic and has achieved high performance with 74% in accuracy and 75% in AUC in the external cross-lingual Chinese validation experiment, excels in distinguishing CI, and is beneficial for large-scale screening and self testing of CI, which will remind potential AD patients to undergo timely hospital-based examinations and therapies.