Artificial intelligence in HIV research, policy, and clinical care.

Abstract

A large and rapidly growing percentage of health-care organisations are implementing artificial intelligence (AI; including generative AI), for research, care delivery, and policy. Despite concerns (eg, ethical considerations and data privacy) by HIV stakeholders (eg, providers, patients, government, and community-based organisations), AI-driven tools are already being used in HIV-related areas such as testing, risk prediction, clinical decision making, and HIV interventions. This Viewpoint outlines the use of AI in both HIV and broader public health settings; provides examples across patient, provider, and system-level use cases; and presents crucial AI-related implementation challenges, including health literacy, system readiness, and equitable access. HIV stakeholders need to actively and repeatedly seek out and engage partnerships with industry and technology professionals to ensure that AI safely and effectively supports public care and trust.