Artificial Intelligence in Health Promotion

Girão Carrilho, Mariana; Pinto, Diego Costa; Wagner, Rafael Luis; Rohden, Simoni F.; Arriaga, Miguel Telo de; Pinto, Leonor Quelhas

http://hdl.handle.net/10362/185290

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Autores

Girão Carrilho, Mariana

Pinto, Diego Costa

Wagner, Rafael Luis

Rohden, Simoni F.

Arriaga, Miguel Telo de

Pinto, Leonor Quelhas

Resumo(s)

The rapid advancement of artificial intelligence (AI) presents transformative opportunities for health promotion and disease prevention worldwide. With global investment in healthcare projected to exceed $45 billion by 2026 (Markets and Markets, 2024), AI technologies are poised to revolutionize how we approach population health, behavior change, and wellness promotion. AI can be described as machine-based systems designed to simulate human intelligence to perform tasks, such as analysis and decision-making (Smith et al., 2024). As health systems globally face mounting pressures from resource limitations, rising demands for preventive services, and persistent health disparities, AI-enabled solutions offer compelling opportunities for innovation. Healthcare organizations increasingly rely on AI algorithms that can process vast amounts of health data, predict risk factors, personalize interventions, and optimize health promotion campaigns (Yun et al., 2021). Consumers benefit from these applications through more accessible health information, personalized wellness recommendations, early warning systems, and AI-enabled health coaching that promotes positive behavior change (Cadario et al., 2021; Lee et al., 2024).

Descrição

Girão Carrilho, M., Pinto, D. C., Wagner, R. L., Rohden, S. F., Arriaga, M. T. D., & Pinto, L. Q. (2025). Artificial Intelligence in Health Promotion: A Framework and Research Agenda [abstract]. 34-36. Abstract from AIRSI 2025, Zaragoza, Spain. --- This work is funded by national funds through FCT – Fundação para a Ciência e a Tecnologia, I.P., under the projects 2023.03729.BD, 2024.07397.IACDC (DOI: 10.54499/2024.07397.IACDC), and UIDB/04152/2020 (DOI: 10.54499/UIDB/04152/2020) - Information Management Research Center (MagIC).

Palavras-chave

health promotion artificial intelligence natural language processing SDG 3 - Good Health and Well-being

URI

http://hdl.handle.net/10362/185290

Coleções

NIMS: MagIC - Documentos de conferências internacionais

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