Mobile artificial intelligence-generated content (AIGC) refers to the adoption of generative artificial intelligence (GAI) algorithms deployed at mobile edge networks to automate the information creation process while fulfilling the requirements of end users. Mobile AIGC has recently attracted phenomenal attentions and can be a key enabling technology for an emerging application, called human digital twin (HDT). HDT empowered by the mobile AIGC is expected to revolutionize the personalized healthcare by generating rare disease data, modeling high-fidelity digital twin, building versatile testbeds, and providing 24/7 customized medical services. To promote the development of this new breed of paradigm, in this article, we propose a system architecture of mobile AIGC-driven HDT and highlight the corresponding design requirements and challenges. Moreover, we illustrate two use cases, i.e., mobile AIGC-driven HDT in customized surgery planning and personalized medication. In addition, we conduct an experimental study to prove the effectiveness of the proposed mobile AIGC-driven HDT solution, which shows a particular application in a virtual physical therapy teaching platform. Finally, we conclude this article by briefly discussing several open issues and future directions.

中文翻译：

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个性化医疗保健的革命：通过移动 AIGC 实现人类数字孪生


移动人工智能生成内容（AIGC）是指采用部署在移动边缘网络的生成人工智能（GAI）算法来自动化信息创建过程，同时满足最终用户的需求。移动 AIGC 最近引起了极大的关注，并且可以成为称为人类数字孪生 (HDT) 的新兴应用的关键支持技术。移动 AIGC 赋能的 HDT 有望通过生成罕见疾病数据、建模高保真数字孪生、构建多功能测试床以及提供 24/7 定制医疗服务，彻底改变个性化医疗保健。为了促进这种新型范式的发展，在本文中，我们提出了一种移动 AIGC 驱动的 HDT 系统架构，并强调了相应的设计要求和挑战。此外，我们还说明了两个用例，即移动 AIGC 驱动的 HDT 在定制手术计划和个性化用药中的应用。此外，我们还进行了一项实验研究，以证明所提出的移动 AIGC 驱动的 HDT 解决方案的有效性，该解决方案展示了在虚拟物理治疗教学平台中的特定应用。最后，我们通过简要讨论几个悬而未决的问题和未来的方向来结束本文。