ReCOGnAIze app to detect mild cognitive impairment and vascular cognitive impairment
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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.
