Applications of Machine Learning for Cognitive Health in Older Individuals With HIV: Rapid Systematic Review

Machine learning research on dementia among older people with HIV primarily targets HIV-associated neurocognitive disorders, with limited exploration of age-related neurodegenerative diseases such as Alzheimer disease and related dementias. The absence of longitudinal studies and external validation remains a key limitation. Future research should broaden the focus to all-cause dementia beyond HIV-specific conditions; apply advanced machine learning methods; and leverage large-scale longitudinal, multimodal datasets. Strengthening methodological rigor and enhancing real-world applications will be critical to improving early detection and effective management of cognitive health in this unique aging population.

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Publication Details

Journal
JMIR Aging
Published
2025-12-31
DOI
https://doi.org/10.2196/80433
Primary Topic
HIV Research and Treatment
Type
article
Field-Weighted Citation Impact
0.00
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article

Applications of Machine Learning for Cognitive Health in Older Individuals With HIV: Rapid Systematic Review

Renjie Liang, Jiang Bian, Railton Miranda, Hwayoung Cho et al.
JMIR Aging
HIV Research and Treatment
article

Applications of Machine Learning for Cognitive Health in Older Individuals With HIV: Rapid Systematic Review

Renjie Liang, Jiang Bian, Railton Miranda, Hwayoung Cho, Hannah Cho, Qianqian Song, Lin Li, Jiyoun Song
article en

Abstract

Machine learning research on dementia among older people with HIV primarily targets HIV-associated neurocognitive disorders, with limited exploration of age-related neurodegenerative diseases such as Alzheimer disease and related dementias. The absence of longitudinal studies and external validation remains a key limitation. Future research should broaden the focus to all-cause dementia beyond HIV-specific conditions; apply advanced machine learning methods; and leverage large-scale longitudinal, multimodal datasets. Strengthening methodological rigor and enhancing real-world applications will be critical to improving early detection and effective management of cognitive health in this unique aging population.

JMIR AgingVol. 8
Regenstrief Institute (US), University of Florida (US), Indiana University – Purdue University Indianapolis (US), University of Pennsylvania (US), Florida College (US)
Reduced inequalities
Openalex Percentile: Top 33%
HIV Research and Treatment
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