Artificial Intelligence in the HIV response: All the good stuff from AIDS2026
An analysis by Jirair Ratevosian of the Duke Global Health Institute looked comprehensively at AI-related abstracts, key themes from use cases, and emerging trends at AIDS 2026. His review shows the potential of AI to support HIV testing and prevention, including PrEP, and improve linkages to care and services, particularly in sub-Saharan Africa. “AI is becoming a new front door to HIV services,” he writes, but the analysis also shows that while most of the research was focused on feasibility and pilot implementation of AI, a significant evidence gap around health outcomes, as well as privacy, community engagement, and governance remains. He concludes that: AI is working, but trust is what makes or breaks the product; specialized tools beat generics; human-in-the-loop is becoming standard; the field needs to move from pilots to proof of outcomes; and scale depends on systems, not just models.
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