Gembody Limited

The AI-enhanced ultrasound system for remote health diagnostics is an innovative solution integrating portable ultrasound hardware with AI algorithms to enable early-stage detection and monitoring of chronic vascular and musculoskeletal conditions. This system empowers users in remote or underserved communities by providing accessible, non-invasive, and real-time diagnostic support. The AI model automatically analyses ultrasound images to identify early signs of abnormalities, such as varicose veins or gait instability, facilitating timely medical intervention while reducing long-term healthcare costs and risks. The system also supports cloud-based data sharing with medical professionals for remote consultations and continuous monitoring. It prioritises easy-to-use interface for non-specialist users with potential applications in rural health services, home-based elderly care and telemedicine. This project bridges the gap between advanced imaging technology and daily healthcare needs, thereby promoting preventive care and improving patient outcomes across geographically diverse populations.

Key Team Members 
Dr YANG Fan (Department of Applied Physics)
Ms MAO Qian (School of Design)
Prof. WANG Hai-liang (School of Design)
Prof. DAI Ji-yan (Department of Applied Physics)