[Artificial intelligence in Public Health: opportunities, ethical challenges and future perspectives].

Revista espanola de salud publica Pub Date : 2025-03-26
Sergio Castaño Castaño
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Abstract

Artificial Intelligence (AI) is transforming Public Health by providing innovative tools to address complex global challenges. Its ability to analyze large volumes of data in real time enhances epidemiological surveillance, optimizes healthcare resource management, and personalizes preventive interventions. These applications have proven valuable in situations such as pandemics, where AI algorithms have contributed to outbreak prediction, efficient resource allocation, and the design of targeted strategies. However, the adoption of AI also raises significant ethical and regulatory challenges. Issues such as data privacy, algorithmic transparency, and biases in models highlight the need for robust regulatory frameworks to ensure its ethical and equitable use. Furthermore, the lack of training among Public Health professionals and the digital literacy of communities limit the potential impact of these technologies. This article examines the practical applications, ethical challenges, and strategies needed for the responsible adoption of AI in Public Health. It emphasizes the importance of training, interdisciplinary collaboration, and continuous research to ensure that AI becomes a transformative tool contributing to global well-being. If implemented ethically and sustainably, AI can play a crucial role in promoting equity and quality in Public Health systems.

人工智能(AI)为应对复杂的全球挑战提供了创新工具,正在改变公共卫生。人工智能能够实时分析大量数据,从而加强流行病学监测、优化医疗资源管理和个性化预防干预。事实证明,这些应用在大流行病等情况下非常有价值,人工智能算法有助于预测疫情爆发、有效分配资源和设计有针对性的策略。然而,人工智能的应用也带来了伦理和监管方面的重大挑战。数据隐私、算法透明度和模型中的偏差等问题突出表明,需要建立强有力的监管框架,以确保人工智能的道德和公平使用。此外,公共卫生专业人员缺乏培训以及社区的数字扫盲也限制了这些技术的潜在影响。本文探讨了在公共卫生领域负责任地采用人工智能所需的实际应用、伦理挑战和策略。文章强调了培训、跨学科合作和持续研究的重要性,以确保人工智能成为促进全球福祉的变革性工具。如果以合乎道德和可持续的方式实施,人工智能可以在促进公共卫生系统的公平和质量方面发挥至关重要的作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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