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

Machine Learning (3274) New Methods (1826) mHealth for Data Collection and Research (1757) Decision Support for Health Professionals (2289) Ontologies, Classifications, and Coding (458) Dementia and Cognitive Decline (896) Digital Biomarkers and Digital Phenotyping (453)

Published on in Vol 14 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/83622, first published .
Elderly man driving a car with GPS navigation displayed on the dashboard screen.

Leveraging Naturalistic Driving Digital Biomarkers for Early Mild Cognitive Impairment Detection: Deep Learning Strategies

Leveraging Naturalistic Driving Digital Biomarkers for Early Mild Cognitive Impairment Detection: Deep Learning Strategies

Authors of this article:

Firas Al-Hindawi1, 2 Author Orcid Image ;   Teresa Wu3, 4 Author Orcid Image ;   Yutong Wen3, 4 Author Orcid Image ;   Peter Serhan5, 6 Author Orcid Image ;   Erica Forzani6, 7 Author Orcid Image ;   Francis Tsow8 Author Orcid Image ;   Yonas E Geda9 Author Orcid Image
Article Authors Cited by (1) Tweetations (2) Metrics

Journals

  1. 黄 乐. Application and Research Progress of Digital Biomarkers Related to Alzheimer’s Disease. Open Journal of Natural Science 2026;14(05):535 View