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https://www.um.edu.mt/library/oar/handle/123456789/133192| Title: | Artificial intelligence in public health : lessons from the European public health conference |
| Authors: | Panteli, Dimitra Buttigieg, Stefan Keyrellous, Adib Ladewig, Katharina Azzopardi Muscat, Natasha McKee, Martin |
| Keywords: | Artificial intelligence -- Medical applications -- European Union countries Artificial intelligence -- Medical applications -- Congresses European Union. Artificial Intelligence Act Public health -- Technological innovations |
| Issue Date: | 2024 |
| Publisher: | European Observatory on Health Systems and Policies |
| Citation: | Panteli, D., Buttigieg, S., Adib, K., Ladewig, K., Azzopardi-Muscat, N., & McKee, M. (2024). Artificial intelligence in public health : lessons from the European public health conference. Eurohealth, 30(3), 13-18. |
| Abstract: | Artificial intelligence (AI) holds great promise for advancing public health functions. This article, drawing on discussions from Plenary 1 at the European Public Health Conference 2024, considers some ways in which AI is already used in public health, including for health promotion, surveillance and protection, population health assessment, disease and injury prevention, emergency prediction, preparedness and response, and resource optimisation. It also explores what actions need to be taken in the future to help ensure AI is meaningfully embedded in public health practice, and to overcome key challenges such as ensuring equity, avoiding biases, maintaining trust, and safeguarding privacy. |
| URI: | https://www.um.edu.mt/library/oar/handle/123456789/133192 |
| ISSN: | 2958096X |
| Appears in Collections: | Scholarly Works - FacHScHSM |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Artificial intelligence in public health lessons from the European public health conference 2024.pdf | 666.42 kB | Adobe PDF | View/Open |
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