ReCOGnAIze app to detect mild cognitive impairment and vascular cognitive impairment
Abstract
INTRODUCTION
Mild Cognitive Impairment (MCI) is underdiagnosed due to subtle symptoms. Vascular Cognitive Impairment (VCI), the second leading cause of cognitive impairment, remains underdiagnosed due to varying non-amnestic manifestations. We aimed to develop and validate ReCOGnAIze, a gamified, interpretable digital app to detect MCI and VCI.
METHODS
A multi-phase, cross sectional study in an Asian community cohort with development phase (n=200) and validation with 235 independent participants having comprehensive neuroimaging and neuropsychological data.
RESULTS
In 235 subjects, ReCOGnAIze composite score accurately distinguished MCI from cognitively normal individuals (AUC = 0.90), outperforming the Montreal Cognitive Assessment (AUC = 0.70). For VCI detection, it achieved strong performance (n = 155; Average AUC = 0.85), identifying biomarkers of VCI; response time variability, task efficiency, consistent with known cerebrovascular disease impairments.
DISCUSSION
ReCOGnAIze is a scalable, explainable AI tool that accurately detects MCI and VCI, with interpretable clinical insights.
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