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This paper is in the following e-collection/theme issue:

Reviews in Medical Informatics (436) Extended Reality, Virtual Reality and Virtual Worlds (1083) Dementia and Cognitive Decline (853) Diagnostic Tools in Mental Health (411) Digital Biomarkers and Digital Phenotyping (407) Artificial Intelligence (4441) Computer-Aided Diagnosis (401)

Published on in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/62914, first published .
Elderly woman wearing a VR headset, experiencing virtual reality

Preclinical Cognitive Markers of Alzheimer Disease and Early Diagnosis Using Virtual Reality and Artificial Intelligence: Literature Review

Preclinical Cognitive Markers of Alzheimer Disease and Early Diagnosis Using Virtual Reality and Artificial Intelligence: Literature Review

Authors of this article:

María de la Paz Scribano Parada1, 2, 3 Author Orcid Image ;   Fátima González Palau1, 4, 5 Author Orcid Image ;   Sonia Valladares Rodríguez6, 7 Author Orcid Image ;   Mariano Rincon7 Author Orcid Image ;   Maria José Rico Barroeta4 Author Orcid Image ;   Marta García Rodriguez4 Author Orcid Image ;   Yolanda Bueno Aguado4 Author Orcid Image ;   Ana Herrero Blanco4 Author Orcid Image ;   Estela Díaz-López7 Author Orcid Image ;   Margarita Bachiller Mayoral7 Author Orcid Image ;   Raquel Losada Durán4 Author Orcid Image
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Journals

  1. Garcia-Navarra S, Solares L, Mendez M. Virtual reality and mixed reality in the assessment of spatial memory. Exploration of Digital Health Technologies 2025;3 View
  2. Dall’Ora N, Felli L, Aldegheri S, Vicino N, Giuliano R. LumiCare: A Context-Aware Mobile System for Alzheimer’s Patients Integrating AI Agents and 6G. Electronics 2025;14(17):3516 View
  3. Mulet i Piera X, Del Campo-Montoya R, Cuadrado-Tejedor M, Garcia-Osta A, Garbayo E, Blanco-Prieto M. Intranasal delivery of lipid-based nanoparticles for the treatment of neurodegenerative diseases: advances, challenges and future perspectives. Expert Opinion on Drug Delivery 2026;23(2):333 View
  4. Yu C, Bian D, Zhang J, Han X, Shi C, Li G. Effect of Dual-Task Training on Cognitive Function in Community-Dwelling Older Adults With Mild Cognitive Impairment: Sequential Multiple Assignment Randomized Trial. Journal of Medical Internet Research 2025;27:e79274 View
  5. Abondio P, Masi M, Wang S. Editorial: The early detection of neurodegenerative diseases: an aging perspective. Frontiers in Aging Neuroscience 2026;17 View
  6. Ladki M, Akiki Z, Faour W. Analyzing the impact of Technological Innovations in Medicine on Global Healthcare Research and Development using a content analysis approach. F1000Research 2026;15:340 View
  7. Al-Hindawi F, Wu T, Wen Y, Serhan P, Forzani E, Tsow F, Geda Y. Leveraging Naturalistic Driving Digital Biomarkers for Early Mild Cognitive Impairment Detection: Deep Learning Strategies. JMIR Medical Informatics 2026;14:e83622 View
  8. Ladek A, Priebe L, Harrer T, Harrer E, Michelson G, Knauer T, Dias-Nunes D, Mardin C, Bergua A, Hohberger B. 3D Virtual Reality Performance Metrics as a Future Fatigue Biomarker in Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS). Biomedicines 2026;14(4):855 View
  9. Xue Y, Luo X, Guo S, Song T. Application of Deep Multi-Scale Representation Learning Based on Eye-Tracking and Facial Expression Data in Cognitive Decline Assessment. Sensors 2026;26(9):2600 View

Books/Policy Documents

  1. Bernal-Casas D, Díaz-López E, Bachiller M, Rincón M. Artificial Intelligence for Neuroscience, Mental Health, and Neurodegenerative Disorders. View

Conference Proceedings

  1. Ferrufino D, Viado L, Fronchetti F, Falcao D, Spinola R. Proceedings of the 2025 31st ACM Symposium on Virtual Reality Software and Technology. A Systematic Mapping Study on the Joint Use of AI and VR in Stroke Care View