Early identification of mild cognitive impairment (MCI) plays a crucial role in enabling timely intervention and slowing disease progression. We present a deployable multimodal cognitive assessment system implemented as an interactive software platform. The system integrates three standardized tasks—picture description, five-word recall, and the clock drawing test—to comprehensively assess language, memory, and visuospatial functions. Through speech and handwriting input, the system automatically extracts task-specific features and provides users with dimension-level scores along with an overall cognitive risk label (normal vs. abnormal). While over 5,000 individuals have been assessed using the platform to date, this paper presents results based on a subsample of 190 participants. Statistical analysis confirms that task-based scores significantly differentiate between cognitively normal and impaired individuals, supporting the system’s practical utility for scalable cognitive screening in clinical and community contexts.

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A Multimodal Cognitive Assessment System with Task-Level Scoring and Risk Labeling

  • Qinyuan Chang,
  • Ziying Ye,
  • Shuyu Lu,
  • Feiyang Xu,
  • Mingming Hu,
  • Yang Niu

摘要

Early identification of mild cognitive impairment (MCI) plays a crucial role in enabling timely intervention and slowing disease progression. We present a deployable multimodal cognitive assessment system implemented as an interactive software platform. The system integrates three standardized tasks—picture description, five-word recall, and the clock drawing test—to comprehensively assess language, memory, and visuospatial functions. Through speech and handwriting input, the system automatically extracts task-specific features and provides users with dimension-level scores along with an overall cognitive risk label (normal vs. abnormal). While over 5,000 individuals have been assessed using the platform to date, this paper presents results based on a subsample of 190 participants. Statistical analysis confirms that task-based scores significantly differentiate between cognitively normal and impaired individuals, supporting the system’s practical utility for scalable cognitive screening in clinical and community contexts.