Posted on 12 August 2021 by Kerim Genc
Total hip arthroplasties (TKAs) using patient-specific implants have gradually increased in frequency over the last decade, with challenges for developing fast, efficient, and reliable software and device workflows from MRI and CT scans. Synopsys and the Corin Optimized Positioning System (OPS) group have been working together for over 10 years to tackle this problem by developing and streamlining their OPS workflow, which is designed to optimize stability, longevity, biomechanics, and patient outcomes for THAs over time.
This relationship has grown from a few licenses of the Synopsys Simpleware software platform to a deeply integrated and customized solution for different stages of the OPS workflow where it has been deployed to over 20,000 patients. This has been a long-term relationship where the Simpleware group has focused on aligning to the vision of the OPS group to achieve the success and wide adoption of the OPS system we see today.
More recently, the addition of Machine Learning-based AI technologies, via the Simpleware Custom Modeler solution, enabled Corin to take the next leap in efficiency by completely automating their segmentation and landmarking workflows. This automation significantly speeds up their workflow, eliminates segmentation and landmarking bottlenecks, and frees up their engineers to focus on higher-value tasks.