Mobile Artificial Intelligence-Generated Content (AIGC) technology refers to the adoption of AI 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.

翻译：移动人工智能生成内容（Mobile AIGC）技术是指利用部署在移动边缘网络中的人工智能算法来自动化信息创建过程，同时满足终端用户的需求。移动AIGC近期引起了极大关注，并有望成为一项关键赋能技术，用于新兴应用——人类数字孪生（HDT）。由移动AIGC驱动的HDT有望通过生成罕见疾病数据、建模高保真数字孪生、构建通用测试平台以及提供全天候个性化医疗服务，彻底革新个性化医疗。为促进这一新型范式的发展，本文提出了一种移动AIGC驱动的HDT系统架构，并强调了相应的设计需求与挑战。此外，我们阐述了两个用例，即移动AIGC驱动的HDT在定制化手术规划与个性化用药中的应用。同时，我们开展了一项实验研究，以验证所提出的移动AIGC驱动的HDT方案的有效性，并展示了其在虚拟物理治疗教学平台中的具体应用。最后，本文简要讨论了若干开放性问题与未来发展方向。