Teaching & Training

Aurela

Augmented reality for medical teaching and training.

Aurela automatically turns CT and MRI datasets into interactive 3D models that learners can view, rotate and discuss together in space.

Two people jointly examining a 3D model of the spine in augmented reality
Learning together with a 3D model of the spine
The problem

Understanding anatomy without seeing it in 3D

Students, trainees and physicians in residency work with complex CT and MRI datasets every day, displayed on two-dimensional monitors. This makes spatial structures harder to grasp and often leaves the teaching of anatomical relationships abstract. Especially in complex cases, such as spinal procedures or pelvic fractures, there is no tool that makes real data intuitively accessible.

The solution

Real data, right in the headset

Aurela is an automated augmented reality system that turns medical imaging data into interactive 3D models. The models are viewed in the headset, rotated, enlarged and discussed together.

  • Intuitive hand-tracking control, no controllers needed.
  • Shared Classroom mode: multiple students learn together on the same 3D model.
  • Real data instead of generic models.
Workflow

From CT scan to explorable 3D anatomy

In just a few automated steps, existing imaging data is processed and visualised in the AR headset.

Aurela workflow: CT/MRI scan → DICOM dataset → automated 3D processing → interactive learning in AR
Use cases

Who Aurela is designed for

From training laypeople to students and physicians in residency: Aurela makes medical imaging data tangible for every learner.

  1. 01

    Laypeople

    Convey anatomical fundamentals clearly, no medical background required.

  2. 02

    Students & trainees

    Grasp complex anatomy spatially and understand how cross-sectional images relate to 3D structures.

  3. 03

    Physicians in residency

    Deepen expertise using real datasets, together in Shared Classroom mode.

Intended use: Aurela is intended exclusively for teaching and training purposes and is not intended for diagnostic or therapeutic decisions.

Interested in working together?

We look forward to connecting with university hospitals, educational institutions and partners who want to help shape digital medical education.