AI4Health
A Better Future
Revolutionizing Healthcare with AI
AI4HEALTH is redefining healthcare, turning data into actionable, personalized insights for every patient.
![A better future AI graphic](https://research.charlotte.edu/wp-content/uploads/sites/631/2025/02/Untitled-design-23-1000x1000.png)
Meet the staff
![Dr. Ahmed Helmy](https://research.charlotte.edu/wp-content/uploads/sites/631/2025/02/team-03-300x300.png)
![Dr. Min Shin](https://research.charlotte.edu/wp-content/uploads/sites/631/2025/02/team-04-300x300.jpg)
![Dr. Pu Wang](https://research.charlotte.edu/wp-content/uploads/sites/631/2025/02/pu-wang-300x300.png)
![AI image of the human body](https://research.charlotte.edu/wp-content/uploads/sites/631/2025/02/about-us-1000x1000.png)
Digital Twins:
Bridging the Physical and Digital Realms.
A digital twin is a dynamic, virtual representation of a physical object or system. It uses real-time data, simulations, and machine learning algorithms to understand, predict, and optimize functions for better performance. From manufacturing equipment to entire cities and even human physiology, digital twins can be applied across various sectors.
Better Future Explore Our Projects
![](https://research.charlotte.edu/wp-content/uploads/sites/631/2025/02/Hexagon-3.png)
HDTs
Develop comprehensive whole-body human digital twins.
![](https://research.charlotte.edu/wp-content/uploads/sites/631/2025/02/Hexagon-3.png)
HDTs for Sports Health
“Hospital at home” by enabling noninvasive continuous monitoring and early warning of health risks in elderly individuals.
![](https://research.charlotte.edu/wp-content/uploads/sites/631/2025/02/Hexagon-3.png)
HDTs for Elderly Care
Noninvasive continuous monitoring and early warning of health risks in elderly individuals.
Insights & Updates
Dive into the latest advancements, research breakthroughs, and collaborative endeavors at AI4HEALTH. Our news section keeps you informed about the pioneering steps we’re taking in the realm of AI-driven healthcare, digital twins, and beyond.
![](https://research.charlotte.edu/wp-content/uploads/sites/631/2025/02/Squating-300x280.gif)
We are pleased to announce that our paper, “GenHMR: Generative Human Mesh Recovery for Accurate 3D Pose and Shape Estimation,” has been…
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We are excited to share that our paper, “BSKI Models: Skeleton-Induced Vision-Language Embeddings for Understanding Activities of Daily Living,” has been accepted…
![](https://research.charlotte.edu/wp-content/uploads/sites/631/2025/02/Untitled-design-1.gif)
We are pleased to announce that our paper, “BioPose: Biomechanically-Accurate 3D Pose Estimation from Monocular Videos,” has been accepted for presentation at WACV…