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Fecha
2025-01-28
Derechos de acceso
info:eu-repo/semantics/openAccess
Título de la revista
ISSN de la revista
Título del volumen
Editorial
JMIR Publications
Citas
Resumen
Background
This review explores the potential of virtual reality (VR) and artificial intelligence (AI) to identify preclinical cognitive markers of Alzheimer disease (AD). By synthesizing recent studies, it aims to advance early diagnostic methods to detect AD before significant symptoms occur.
Objective
Research emphasizes the significance of early detection in AD during the preclinical phase, which does not involve cognitive impairment but nevertheless requires reliable biomarkers. Current biomarkers face challenges, prompting the exploration of cognitive behavior indicators beyond episodic memory.
Methods
Using PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines, we searched Scopus, PubMed, and Google Scholar for studies on neuropsychiatric disorders utilizing conversational data.
Results
Following an analysis of 38 selected articles, we highlight verbal episodic memory as a sensitive preclinical AD marker, with supporting evidence from neuroimaging and genetic profiling. Executive functions precede memory decline, while processing speed is a significant correlate. The potential of VR remains underexplored, and AI algorithms offer a multidimensional approach to early neurocognitive disorder diagnosis.
Conclusions
Emerging technologies like VR and AI show promise for preclinical diagnostics, but thorough validation and regulation for clinical safety and efficacy are necessary. Continued technological advancements are expected to enhance early detection and management of AD.
Descripción
The registered version of this article, first published in “JMIR Medical Informatics, Volume 13, 2025", is available online at the publisher's website: JMIR Publications, https://doi.org/10.2196/62914
La versión registrada de este artículo, publicado por primera vez en “JMIR Medical Informatics, Volume 13, 2025", está disponible en línea en el sitio web del editor: JMIR Publications, https://doi.org/10.2196/62914
La versión registrada de este artículo, publicado por primera vez en “JMIR Medical Informatics, Volume 13, 2025", está disponible en línea en el sitio web del editor: JMIR Publications, https://doi.org/10.2196/62914
Categorías UNESCO
Palabras clave
dementia, Alzheimer disease, mild cognitive impairment, virtual reality, artificial intelligence, early detection, qualitative review, literature review, AI
Citación
María de la Paz Scribano Parada, Fátima González Palau, Sonia Valladares Rodríguez, Mariano Rincon, Maria José Rico Barroeta, Marta García Rodriguez, Yolanda Bueno Aguado, Ana Herrero Blanco, Estela Díaz-López, Margarita Bachiller Mayoral, Raquel Losada Durán, Preclinical Cognitive Markers of Alzheimer Disease and Early Diagnosis Using Virtual Reality and Artificial Intelligence: Literature Review, JMIR Medical Informatics, Volume 13, 2025, , ISSN 2291-9694, https://doi.org/10.2196/62914
Centro
E.T.S. de Ingeniería Informática
Departamento
Inteligencia Artificial