Rudd Jessica, Igbrude Claudia
Atlanta, GA USA.
Dublin, Ireland.
AI Ethics. 2023 May 31:1-11. doi: 10.1007/s43681-023-00302-8.
Healthcare AI solutions have the potential to transform access, quality of care, and improve outcomes for patients globally. This review suggests consideration of a more global perspective, with a particular focus on marginalized communities, during the development of healthcare AI solutions. The review focuses on one aspect (medical applications) to allow technologists to build solutions in today's environment with an understanding of the challenges they face. The following sections explore and discuss the current challenges in the underlying data and AI technology design on healthcare solutions for global deployment. We highlight some of the factors that lead to gaps in data, gaps around regulations for the healthcare sector, and infrastructural challenges in power and network connectivity, as well as lack of social systems for healthcare and education, which pose challenges to the potential universal impacts of such technologies. We recommend using these considerations in developing prototype healthcare AI solutions to better capture the needs of a global population.
医疗保健人工智能解决方案有潜力改变全球患者获得医疗服务的机会、医疗质量并改善治疗效果。本综述建议在开发医疗保健人工智能解决方案时，应从更全球化的视角进行考量，尤其要关注边缘化社区。该综述聚焦于一个方面（医疗应用），以便技术专家在当今环境下构建解决方案时，能理解他们所面临的挑战。以下各节探讨并讨论了在基础数据和人工智能技术设计方面，针对全球部署的医疗保健解决方案目前所面临的挑战。我们强调了一些导致数据差距的因素、医疗保健领域监管方面的差距、电力和网络连接方面的基础设施挑战，以及医疗保健和教育社会系统的缺失，这些都对这类技术的潜在普遍影响构成了挑战。我们建议在开发医疗保健人工智能解决方案原型时考虑这些因素，以便更好地满足全球人群的需求。
