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[公共卫生领域的人工智能:机遇、伦理挑战与未来展望]

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

作者信息

Castaño Castaño Sergio

机构信息

Departamento de Psicología; Universidad de Oviedo. Oviedo. España.

Instituto de Investigación Sanitaria del Principado de Asturias (ISPA). Oviedo. España.

出版信息

Rev Esp Salud Publica. 2025 Mar 26;99:e202503017.

PMID:40165772
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.

摘要

人工智能(AI)正在通过提供创新工具来应对复杂的全球挑战,从而改变公共卫生领域。它实时分析大量数据的能力增强了流行病学监测、优化了医疗资源管理并使预防性干预措施个性化。这些应用在大流行等情况下已被证明具有价值,在这些情况下,人工智能算法有助于疫情预测、高效资源分配和针对性策略的设计。然而,人工智能的采用也带来了重大的伦理和监管挑战。数据隐私、算法透明度和模型偏差等问题凸显了建立强大监管框架以确保其符合伦理和公平使用的必要性。此外,公共卫生专业人员缺乏培训以及社区的数字素养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。它强调了培训、跨学科合作和持续研究的重要性,以确保人工智能成为有助于全球福祉的变革性工具。如果以符合伦理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性和质量方面发挥关键作用。

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本文引用的文献

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Health Equity and Ethical Considerations in Using Artificial Intelligence in Public Health and Medicine.人工智能在公共卫生和医学中的应用:健康公平和伦理问题。
Prev Chronic Dis. 2024 Aug 22;21:E64. doi: 10.5888/pcd21.240245.
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A Review of the Role of Artificial Intelligence in Healthcare.人工智能在医疗保健领域的作用综述。
J Pers Med. 2023 Jun 5;13(6):951. doi: 10.3390/jpm13060951.
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Bias in AI-based models for medical applications: challenges and mitigation strategies.基于人工智能的医学应用模型中的偏差:挑战与缓解策略。
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Nat Med. 2019 Jan;25(1):44-56. doi: 10.1038/s41591-018-0300-7. Epub 2019 Jan 7.
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The practical implementation of artificial intelligence technologies in medicine.人工智能技术在医学中的实际应用。
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