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

Extended Reality, Virtual Reality and Virtual Worlds (585) Dementia and Cognitive Decline (510) New Methods (971) Games for Cognitive Assessment (64) Games and Gamification for Health (662) Neurotech Innovations, Diagnostic Tools and Techniques (38) Digital Biomarkers and Digital Phenotyping (201) Clinical Integration of XR and Spatial Computing (35) XR for Assessment and Diagnosis (9) Machine Learning (1524) Artificial Intelligence (1463) Decision Support for Health Professionals (1224) Computer-Aided Diagnosis (142)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/54538, first published .
Integrating Biomarkers From Virtual Reality and Magnetic Resonance Imaging for the Early Detection of Mild Cognitive Impairment Using a Multimodal Learning Approach: Validation Study

Integrating Biomarkers From Virtual Reality and Magnetic Resonance Imaging for the Early Detection of Mild Cognitive Impairment Using a Multimodal Learning Approach: Validation Study

Integrating Biomarkers From Virtual Reality and Magnetic Resonance Imaging for the Early Detection of Mild Cognitive Impairment Using a Multimodal Learning Approach: Validation Study

Authors of this article:

Bogyeom Park1 Author Orcid Image ;   Yuwon Kim1 Author Orcid Image ;   Jinseok Park2 Author Orcid Image ;   Hojin Choi2 Author Orcid Image ;   Seong-Eun Kim1 Author Orcid Image ;   Hokyoung Ryu3 Author Orcid Image ;   Kyoungwon Seo1 Author Orcid Image
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