Published on in Vol 28 (2026)
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/86262, first published
.
AI and Wearables for Early Detection of Cognitive Impairment and Dementia: Systematic Review
AI and Wearables for Early Detection of Cognitive Impairment and Dementia: Systematic Review
Journals
- Jung D, Seo H, Yoo L. Artificial intelligence in nursing practice for older adults with dementia: A narrative review informed by bibliometric mapping and implications for nurse-led research. Journal of Korean Gerontological Nursing 2026;28(2):125 View
- Kim H, Park J. Longitudinal Variability of Wearable-Derived Sleep and Heart Rate as a Digital Biomarker for Early Detection of Mild Cognitive Impairment. Yonsei Medical Journal 2026;67(7):524 View
- Garg S, Walters B, Fernandez D. Chronobiomaterials for circadian-aligned brain therapeutics. Trends in Pharmacological Sciences 2026;47(7):802 View
- Lin J, Kuok K, Mio W, Tan C, Tou P, Cheang C. Beyond single-modality screening: toward an EEG–IoT dual-stream framework for early detection of mild cognitive impairment in community-dwelling older adults. Frontiers in Aging Neuroscience 2026;18 View
- 黄 乐. Application and Research Progress of Digital Biomarkers Related to Alzheimer’s Disease. Open Journal of Natural Science 2026;14(05):535 View
- Ianculescu M, Băjenaru L, Săndulescu V, Petean C. A Standards-Mapped Accessibility-by-Design Framework for AI-Driven Smart Healthcare Solutions: Application to the NeuroPredict Platform. Information 2026;17(9):850 View