Precision Surgery: AI Knee Mapping
A groundbreaking clinical tool that uses AI to map patient-specific knee topology, assisting surgeons in high-precision procedure planning.
The story
behind it
Workholo partnered with Smith & Nephew to digitize the surgical planning process. By leveraging advanced Computer Vision, we developed a system that analyzes DICOM medical imaging to create a perfect 1:1 digital twin of a patient's knee structure.
What stood in the way
Surgical planning for knee replacements was traditionally manual and prone to minor measurement errors. The system needed 99.9% accuracy and had to comply with strict medical device regulations (MDR Class II) while delivering real-time 3D performance.
How we made it happen
Workholo built an AI-centric platform using TensorFlow for anatomical segmentation and specialized OpenGL wrappers for real-time 3D visualization on iPad Pro devices used in operating theaters.
Impact that speaks
Time Saved
Average reduction in planning time per surgical case for clinicians.
Data Errors
Manual measurement errors were eliminated via automated AI mapping.
Global Reach
Successfully deployed to leading orthopaedic centers in 14 markets.
A closer look
What we
delivered
Every feature was built with purpose, performance, and user experience at its core.
Tools & technologies
From concept to launch
Algorithm Training
Training the AI models on 100k+ anonymized DICOM datasets for peak accuracy.
Regulatory Prototyping
Building the MVP in accordance with ISO 13485 and MDR quality standards.
Clinical Validation
Conducting trial runs with expert surgeons to refine the 3D interaction model.
Global Deployment
Rolling out the finalized platform to medical centers across Europe and the US.
Common questions
Let's build something remarkable together
We'd love to discuss how we can help bring your vision to life. Our team has extensive experience across AI, web, mobile, and cloud technologies.
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