A Revolution of Personalized Healthcare: Enabling Human Digital Twin with Mobile AIGC

The system architecture of mobile AIGC-driven HDT in personalized healthcare.


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.


Here is the talk given by Prof. Dusit about this work.

This magazine paper has been submitted to IEEE Network on 13th July, 2023, and is currently under review. Due to the long review cycle, it has also been uploaded to arXiv. You can download the paper by clicking on the arXiv button or directly through the PDF button above.
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Jiayuan Chen
Jiayuan Chen
PhD Candidate in Computer Science and Technology

My research interests include Human Digital Twin (HDT), Network Resource Management, Edge Computing and Edge Intelligence, Tactile Internet (TI), and Data-Driven Optimization and Learning.