XR - Extended Reality
Train Surgeons Smarter with AI-Driven Immersive Simulations
goal
Challenge Faced
Traditional surgical training relies heavily on cadavers, peer observation, or static models, which often lack interactivity, real-time feedback, and consistency. With increasing patient safety regulations and surgeon shortage, healthcare institutions struggle to scale quality training while maintaining high standards. Assessment of surgical skills is often subjective and difficult to quantify.
solution
Our Solution
Traditional surgical training relies heavily on cadavers, peer observation, or static models, which often lack interactivity, real-time feedback, and consistency. With increasing patient safety regulations and surgeon shortage, healthcare institutions struggle to scale quality training while maintaining high standards. Assessment of surgical skills is often subjective and difficult to quantify.
Tools we used
Approach
Step-by-Step Workflow
Procedure Modeling
Real-life surgical workflows modeled in 3D XR environments
AI Integration
ML models track hand precision, tool handling, and decision paths
Simulation Execution
Users practice with haptic feedback and voice guidance
Real-time Feedback
AI engine provides on-the-spot alerts, corrections, and ratings
Skill Analytics
After each session, users receive a dashboard with performance metrics and progress reports
Quantifiable Benefits
Who’s Using This
Top medical universities and teaching hospitals
Healthcare simulation labs
Private surgical training institutes
Public health systems in UK, India, UAE
Why It Matters
This solution ensures consistency in surgical education and helps institutions scale expertise without geographical or resource constraints. It empowers students with confidence, reduces errors in real surgeries, and builds a data-driven culture of surgical competency.