Please use this identifier to cite or link to this item: 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



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