Skip to main content

Surgical A.I.

Logo Gefinancierd door de Europese Unie

Artificial intelligence does not replace the surgeon, it perfects the surgeon!

Computer Vision

The key focus of our innovation department is utilizing computer vision to improve minimally invasive operations & procedures through automated surgical analysis and patient-specific modelling. In other words, we use artificial intelligence (AI), or more specific machine learning and deep learning techniques, to automatically analyze and interpret videos of operations. Next to this, we use similar techniques to generate 3D models which help in guiding the surgery.

These models, commonly generated by using patient's CT or MRI imaging data, are of high value for the surgeon before and during the surgery. Patient-specific pre- and intra-operative planning and guidance are the future of minimally invasive surgery and will lead to revolutionary treatment!

Surgical Data Science

The collection & analysis of surgical data from procedures is essential! By applying AI techniques on these data, we generate surgical skill parameters in an effort to assist both students and proctors to better understand their performance. Analysis of these data gives us valuable insights in teaching methods & creates opportunities to learn and to continue to improve the quality of care.

Did you know we have our own 3D printer that is used on a daily basis to produce training models & tools for our hands-on training?

3D modelling put into practice

  • 3D modelling - augmented reality
    A simulation of a complex surgical procedure, allows the surgeon to work more precisely and efficiently. With a little help of augmented reality and display integration, the surgeon can see the overlay through the robot and see exactly where to find the tumor and knows where to cut.
  • 3D-printed models
    A urologist might create an exact replica of a patient's kidney to help plan a surgery. In this case, the surgeon is using 3D printing to make a product that specifically match the patient's anatomy.

Questions about our surgical A.I. research?

Do you want to be part of groundbreaking research & join our surgical data science team?

Contact us

Surgical A.I. Team | WE ARE HIRING!

Dr. Pieter De Backer

Surgical Artificial Intelligence Lead

Jasper Hofman

Computer Vision Engineer

Wouter Bogaert

Computer Vision Engineer

Tim Oosterlinck

Medical Imaging Quality Team

Andreas Meert

Medical Imaging Quality Team

Elise Wulfrancke

Medical Imaging Quality Team

Inge Meesters

Project Manager

Jente Simoens

Computer Vision Engineer

Jeroen Huygens

Video Systems Engineer

Kenzo Mestdagh

Medical Imaging Quality Team

Julie Lippens

Medical Imaging Quality Team

Sander Vandercappellen

Medical Imaging Quality Team


Computer Vision Engineer

Marco Mezzina

Computer Vision Engineer

Mieken Vereecken

Research Administrator

Heleen Creemers

Medical Imaging Quality Team

Jan Hemeryck

Medical Imaging Quality Team