AI can greatly benefit public health by enhancing disease surveillance, predicting outbreaks, and improving access to care. AI can analyze large datasets, automate tasks, and even help develop new treatments, ultimately saving lives and improving public health outcomes. In times of challenges to sustainability, AI may support continued functions that could otherwise be curtained due to reductions in funds.
Join us for the first of three conversations about how AI can assist public health in meeting the needs of our communities. Harnessing the power of AI can amplify the tools and approaches used in public health faster. But how do we make sense of the AI tools that are currently being used? How can AI become a standard tool for public health research and practice? What has experience shown are some potential pitfalls in implementing this powerful technology?
On July 30, the first of these webinars will be hosted on Dialogue4Health. This first webinar will be an introduction to the topic and serve as the foundation for the rest of series, followed the second webinar on practical examples of AI use in public health, and the third webinar will be a workshop to demonstrate AI applications and their potential use in public health. This foundation will ground us in a deeper conversation for how we can use AI to increase our ability to identify trends and determine scenarios to respond to public health outbreaks. It will also include practical recommendations for safeguarding against unintentional challenges that produce bias and other inaccuracies.
The AI in Public Health series is sponsored by the Public Health Institute and produced by Dialogue4Health.
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