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Resumo(s)
Within our ageing population, the prevalence of Amnestic Mild Cognitive Impairment (aMCI) is rising, underscoring a need for early detection strategies to mitigate potential progression to dementia. Traditional pen-and-paper cognitive tests remain standard but often fail to capture subtle early impairments. Digital episodic memory tasks have emerged as a promising alternative, offering automated scoring, increased accessibility, and potentially better sensitivity to cognitive decline.We systematically evaluated the diagnostic accuracy of digital episodic memory assessments for aMCI. Thirteen studies met inclusion criteria, with six (n = 510 participants) providing sufficient data for meta-analysis. Pooled estimates showed sensitivity of 0.78 (95% CI: 0.65–0.87), specificity of 0.79 (95% CI: 0.66–0.89), and AUC of 0.86, with low to moderate heterogeneity (I² = 36.1%), largely reflecting differences in task design and administration.Both quantitative and qualitative findings suggest digital episodic memory tasks can provide accessible, scalable, and effective tools for early aMCI detection. However, design variability and construct differences highlight the need for further validation across diverse populations and improved methodological standardisation before clinical implementation.
Descrição
Publisher Copyright: © 2026 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license. http://creativecommons.org/licenses/by/4.0/
Palavras-chave
Alzheimer’s disease AMCI Cognitive screening Digital memory assessment Early detection Episodic memory Meta-analysis Systematic review Neuropsychology and Physiological Psychology Cognitive Neuroscience Behavioral Neuroscience