Abstract
Artificial intelligence (AI) uses data‑driven algorithms to recognize patterns and make decisions. In public health, it can not only improve interventions but also reproduce social inequities, thereby creating better solutions. AI shows promise in improving health education. Machine‑learning models can analyze large datasets to personalize messages delivered through mobile apps, chatbots, and social media. These tools can support vaccine reminders, encourage physical activity, or provide nutrition advice tailored to individual risk factors. However, they are only as unbiased as their training data. Furthermore, the collection of personal information raises privacy concerns.
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