AI-Powered Pre-Surgical Planning for Ortho Baltic
AI-Powered Pre-Surgical Planning for Ortho Baltic
How Agmis partnered with Europe's leading orthopedic implant manufacturer to build an AI-powered pre-surgical planning solution - reducing 3D model reconstruction time from hours to seconds while improving precision.
Europe's Leading Orthopedic Implant Manufacturer
Ortho Baltic stands as one of Europe's largest orthopedic device manufacturers, with a focus on patient-specific implants that require precision at every step.
Their traditional workflow relied on qualified engineers manually reconstructing personalized 3D anatomical models from Computer Tomography (CT) images - a process that demanded extensive time, specialized expertise, and meticulous attention to detail.
The company sought to change that. They partnered with Agmis to develop an automated, data-driven approach to implant production that could match or exceed human precision while dramatically reducing processing time.
Bottlenecks That Limited Scalability
Metal Artifact Contamination
CT images used for implant development frequently contain significant noise from metal artifacts. This contamination makes identifying anatomical landmarks and clinical reference points difficult and time-consuming.
Labor-Intensive Processing
Cleaning CT images and marking anatomical features required considerable expertise. A skilled specialist spent an average of 3 hours on a single 3D case - a pace that constrained throughput and tied up valuable talent.
Consistency and Accuracy Risks
Manual reconstruction, no matter how skilled the engineer, carries inherent variability. Human fatigue and the sheer complexity of pathological cases introduced opportunities for error.
AI-Powered Pre-Surgical Planning Through Computer Vision
Medical Data Preprocessing: Working with real medical data - much of it featuring pathologies - required substantial preprocessing before analysis. Our team's medical domain knowledge proved essential in preparing this complex data for AI-powered pre-surgical planning model training.
AI Model Development: We developed a machine learning model capable of automating 3D model reconstruction, artifact cleansing, and clinical reference point identification. The model was trained to handle the variability inherent in pathological cases.
Dramatic Speed Improvement: The resulting AI model reduced processing time from 3 hours to 45-60 seconds per case - a transformation that fundamentally changed what was possible in pre-surgical planning.
System Integration: The model output integrates directly into Ortho Baltic's "Medical Implants Customization Engine" (MICE) software, enabling seamless preoperative planning for personalized implant production.
ML-Powered 3D Reconstruction
Automated anatomical model generation from CT scans in real-time
How AI-Powered Pre-Surgical Planning Works
End-to-End Automated Pre-Surgical Planning Pipeline
The AI-powered pre-surgical planning system processes CT scans, removes metal artifacts, identifies anatomical landmarks, and generates precision 3D models ready for implant customization - all without manual intervention.
Measurable Impact Across Multiple Dimensions
Processing Time Reduction
What once took 3 hours now completes in under a minute. This freed specialists to focus on higher-value work rather than repetitive data processing.
Improved Precision
The AI model matched and in many cases exceeded human accuracy, reducing the risk of errors that could affect patient outcomes.
Scalability Unlocked
Automated processing removed a critical bottleneck, enabling Ortho Baltic to handle significantly higher case volumes without proportional staffing increases.
Foundation for Industry 4.0
This AI-powered pre-surgical planning implementation positions Ortho Baltic to advance toward Industry 4.0 capabilities - potentially enabling mass production of individually tailored medical devices.
Transformation at Every Level
Processing Infrastructure Transformation
The move from manual CT processing to AI-powered automation fundamentally changed how anatomical models are developed. Processing that was once time-consuming became structured, efficient operations with consistent outputs.
Complete Reproducibility
Every 3D model generation follows the same precise workflow. This eliminates variability from human fatigue and creates consistent results across all cases, regardless of complexity.
Real-Time Processing Visibility
With automated processing, teams can visualize progress and results immediately. This accelerated iteration cycles and improved collaboration between engineering and medical teams.
Enhanced Patient Care
By reducing processing time and improving accuracy, the solution enables faster delivery of patient-specific implants while maintaining the highest quality standards.
Transforming Healthcare Manufacturing
Personalized medical devices represent a growing frontier in healthcare. AI-powered pre-surgical planning automates precision tasks that previously required hours of specialist attention - opening new possibilities not just for efficiency, but for expanding access to patient-specific solutions.
High-Complexity Medical Data
This project dealt with real medical data that frequently included pathologies, requiring extensive preprocessing and deep domain expertise.
Expanded Patient Access
By automating precision tasks, the solution enables broader access to patient-specific orthopedic solutions.
Improved Patient Care
Dedication to understanding the medical domain helped jump-start this innovative project and contribute toward better patient outcomes.
Scalable Personalization
AI-powered pre-surgical planning represents a step toward a future where individually tailored medical devices can be produced at scale - combining precision with efficiency.