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.
Authors
- Renjie Liang (ORCID: https://orcid.org/0009-0002-2415-3979)
- Jiang Bian (ORCID: https://orcid.org/0000-0002-9034-4960)
- Railton Miranda
- Hwayoung Cho
- Hannah Cho
- Qianqian Song
- Lin Li
- Jiyoun Song
Institutions
- Regenstrief Institute (US)
- University of Florida (US)
- Indiana University – Purdue University Indianapolis (US)
- University of Pennsylvania (US)
- Florida College (US)
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