Faculty, Staff and Student Publications
Publication Date
1-1-2022
Abstract
In 2019, the US Government announced its goal to end the HIV epidemic within 10 years, mirroring the initiatives set forth by UNAIDS. Public health prevention interventions are a crucial part of this ambitious goal. However, numerous challenges to this goal exist, including improving HIV awareness, increasing early HIV infection detection, ensuring rapid treatment, optimising resource distribution, and providing efficient prevention services for vulnerable populations. Artificial intelligence has had a pivotal role in revolutionising health care and has shown great potential in developing effective HIV prevention intervention strategies. Although artificial intelligence has been used in a few HIV prevention intervention areas, there are challenges to address and opportunities to explore.
Keywords
Acquired Immunodeficiency Syndrome, Artificial Intelligence, Epidemics, HIV Infections, Humans, Machine Learning, HIV, prevention, intervention, artificial intelligence, machine learning, narrative review
DOI
10.1016/S2352-3018(21)00247-2
PMID
34762838
PMCID
PMC9840899
PubMedCentral® Posted Date
1-15-2023
PubMedCentral® Full Text Version
Author MSS
Published Open-Access
yes