PRIME medical simulation engine
Overview
The PRIME medical simulation engine can simulate in real-time the interaction between soft tissues and surgical instruments, the cutting of soft bodies, and precise friction and collisions, while also supporting user interaction. In medical applications, PRIME's physics engine offers diversified and customizable high-precision surgical simulations, enabling surgical training and planning to be conducted in a low-cost, risk-free environment.
Research completion
In research and development
Commercialisation opportunities
IP licensing
Problem addressed
PRIME can address various issues in medical training, surgical planning, and more. Through a high-precision virtual environment, medical students and doctors can repeatedly practice without risk, enhancing their surgical skills and emergency response capabilities. Additionally, simulation technology helps doctors simulate complex surgeries before operations, optimize plans, and reduce surgical risks.
Innovation
- Based on the novel simulation algorithm of Projective Dynamics, PRIME efficiently and accurately solves large-scale nonlinear problems in soft body deformation simulation. This method can be used to simulate large-scale human organ systems.
- Based on the Lagrange multiplier method to address contact and friction problems in multi-body systems, PRIME can accurately and stably resolve nonlinear and discontinuous issues. This method can be used to simulate interactions between surgical instruments and soft tissues.
- Based on the Lattice Boltzmann Method, high-precision fluid simulation and fluid-solid coupling are achieved. This method can be used to predict blood flow in human blood vessels.
Key impact
- Significantly reduces the cost of surgical training and avoids excessive resource consumption.
- Enables surgical training to be conducted in a zero-risk environment. Medical students and doctors can repeatedly practice specific surgical scenarios to improve proficiency and emergency response skills.
- PRIME allows doctors to assess and manage risks before surgery, thereby minimizing potential risks and failures during the actual procedure to the greatest extent possible.
Application
- PRIME can be used to predict brain shift caused by cerebrospinal fluid loss during craniotomy.
- PRIME can be utilized to predict the state of blood flow within cerebral blood vessels.
- PRIME can be used to simulate surgical navigation and provide real-time prediction of tumor location during the navigation process.
Under the Memorandum of Understanding signed between HKSAR Government and Chinese Academy of Sciences (CAS), CAS established the Hong Kong Institute of Science & Innovation of Chinese Academy of Sciences (HKISI), its affiliated institution in Hong Kong, with a view to facilitating its presence in the research clusters on healthcare technologies and on artificial intelligence and robotics technologies. The institution aims to promote transfer and translation of scientific research results, coordinate collaboration between the CAS and local universities, and undertake technological education and promotion activities.
The Centre for Artificial Intelligence and Robotics (CAIR) of HKISI, was established in 2019 and is located at Science Park, Hong Kong. Its development is led by the Institute of Automation, Chinese Academy of Sciences (CASIA), also supported by the InnoHK programme from Innovation and Technology Commission. It is positioned to become a world-class research institute for AI and robotics, emphasizing applications in the range of healthcare, fintech and arts. CAIR aims to become an international hub for scientific research and technological innovation centre with global influence in the Guangdong-Hong Kong-Macao Greater Bay Area.
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