Artificial Intelligence
Medical image segmentation, planning, and design are often the most time-consuming and difficult steps to learn when creating personalized devices. Artificial intelligence (AI) — particularly machine learning — boosts the development of new automated algorithms and potentially removes the hurdles of personalization in healthcare.
AI user benefit
Increase efficiency and consistency
Rely on AI to automate segmentation, planning, and design
Deal with peaks in caseload without sacrificing quality
Build confidence in your operations by having the option to automate
Spend more time on higher-value tasks
Free up your engineers' valuable time by avoiding repetitive image processing tasks
You can confidently use Materialise Mimics to:
- Increase segmentation efficiency and consistency immediately by using the AI algorithms already available in Mimics
- Effectively create consistent training datasets for your AI research
- Easily verify the accuracy of your automatic segmentation results
- Make your own AI algorithms easily accessible to the end-user through Mimics
Resources
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AI-enabled refers to numerical algorithms using artificial intelligence including thresholding, machine learning, deep learning, graph-based & model-based segmentation algorithms and combinations thereof which have been locked and validated before being released. It does not refer to any form of adaptive AI/ML.
Other applications for academia
Automate geometrically accurate and appropriately meshed 3D models for personalized studies.
Conduct efficient and reliable analyses for success in R&D, even on large batches of CT or MRI scans.
Attain realistic testing conditions that can help shorten intervention time.