Artificial Intelligence and Machine Learning for HIV Prevention: Emerging Approaches to Ending the Epidemic.

ABSTRACT:

Purpose of review

We review applications of artificial intelligence (AI), including machine learning (ML), in the field of HIV prevention.

Recent findings

ML approaches have been used to identify potential candidates for preexposure prophylaxis (PrEP) in healthcare settings in the USA and Denmark and in a population-based research setting in Eastern Africa. Although still in the proof-of-concept stage, other applications include ML with smartphone-collected and social media data to promote real-time HIV risk reduction, virtual reality tools to facilitate HIV serodisclosure, and chatbots for HIV education. ML has also been used for causal inference in HIV prevention studies. ML has strong potential to improve delivery of PrEP, with this approach moving from development to imp

SUBMITTER: Marcus JL 

PROVIDER: S-EPMC7260108 | biostudies-literature | 2020 Jun

REPOSITORIES: biostudies-literature