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. 

Digital image of raised lines in circles

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 Mimics Innovation Suite 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

Talk to our experts

Do you have any questions, or are you interested in getting a demo of the Mimics Innovation Suite? Get in touch with us, and let’s discuss how Materialise can support your research.

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Resources

L-102317-02

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.