Table 1.

Applications of artificial intelligence and machine learning for HIV prevention

	Region	Setting	Population	Data source	Key studies
Machine learning to identify people who might benefit from HIV testing, PrEP, or other risk-reduction strategies	U.S.	Healthcare	General population	Electronic health records	Marcus et al. (20), Krakower et al. (18), Feller et al. (22)
	Denmark	Healthcare	General population	Nationwide electronic registry data	Ahlstrom et al. (21)
	Eastern Africa	Population-based intervention study	General population	Community-level randomized trial	Balzer et al. (24)
	U.S.	Smartphones	MSM	Ecological momentary assessments	Wray et al. (28)
	U.S.	Social media	General population	Twitter	Young et al. (29)
Virtual reality tool to promote HIV serostatus disclosure	U.S.	Online and healthcare	Young MSM living with HIV	Qualitative interviews	Muessig et al. (30)
Chatbots to deliver HIV prevention information	U.S.	Social media	General population	Medical and public health resources	Brixey et al. (33)

PrEP, preexposure prophylaxis; MSM, men who have sex with men