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10 Ways Artificial Intelligence Can Improve HIV Prevention Today – ICTworks

HIV prevention with AI
The global HIV response stands at a precarious crossroads. With U.S. government funding freezes, shifting donor priorities, and geopolitical uncertainty, hard-won gains in prevention and treatment are under threat. signal that global health leaders are beginning to take this shift seriously.
Amid this turbulence, artificial intelligence (AI) is no longer just on the horizon—it’s here, reshaping global health programming with new urgency and potential. With health systems under strain and human resources stretched thin, AI presents a transformative opportunity to overcome programmatic barriers and fast-track progress toward achieving global targets by 2030.
However, this potential can only be fully realized if AI solutions are designed with community input, prioritize digital equity, and uphold quality and ethical standards, ensuring that innovations serve those who need them most.
Artificial intelligence to enhance HIV prevention in age of disruptions shows the HIV field is well positioned to lead the integration of AI into health systems with decades of experience in innovation, community-centered design, and task-shifting. What’s more, the HIV response operates at a scale unmatched in global health—thanks to robust public-private partner- ships, community-led networks, and established platforms.
A synopsis of Artificial intelligence to enhance HIV prevention in age of disruptions
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