
Gijs Luijten
Gijs has completed his Master’s in Technical Medicine, specializing in Medical Imaging and Intervention, at the Technical University of Twente in the Netherlands.
He focused on Augmented Reality (AR) applications for Oral-MaxilloFacial (OMF) and Free Flap Surgery. (essay.utwente.nl/80356/1/Luijten_MA_TNW.pdf)
At the Institute for Artificial Intelligence in Medicine (IKIM), Gijs is responsible for the smart XR Lab (https://xrlab.ikim.nrw) under the supervision of Prof. Dr. Dr. Jan Egger (https://ait.ikim.nrw). Gijs conducted research in collaboration with Essen University Hospital (UKE). The research aimed to enhance (surgical) diagnostics and interventions using state-of-the-art 3D technologies, particularly Virtual and Augmented Reality (VR/AR).
As a visiting scientist, Gijs fostered close collaboration with the Technical University of Graz (Institute for Computer Graphics and Vision) and the Medical University of Graz. This collaboration aimed to investigate the effectiveness and usability of AR tools in real clinical settings and explore intriguing combinations of Machine Learning (ML) and AR. The latest project included creating a 3D surgical instrument collection (https://www.nature.com/articles/s41597-023-02684-0) for medical mixed reality and computer vision.
Gijs has many ongoing collaborations on projects such as medical shape analysis, medical machine learning for segmentation and classification, augmented reality for multi-user cross-platform experience, patient eye-tracking measurements, and telecommunication. Gijs' latest focus shifted towards ultrasound in combination with extended reality. Gijs is driven by a strong desire for continuous learning and improvement in related areas, including machine learning, workflow planning, modeling, and programming. Gijs' work aims to contribute to patient care and inspire clinicians, patients, and companies to push the boundaries of what is currently achievable.