Patient-specific VR anatomy for surgical rehearsal.

Better surgical preparation starts before the operating theatre. Argus AI brings medical imaging and immersive 3D visualisation together to help trainees explore anatomy, understand pathology and digitally rehearse surgical approaches.

  • Explore anatomy in VR
  • Rehearse surgical approaches
  • Prepare for clinical practice
ContactSee the evidence

For educational use only.

You help your trainees build surgical knowledge.
How often do they get to put it into practice?

01

Limited practical exposure

Cadaveric and physical simulation training require specialist facilities, supervision and scheduled access.

02

Knowledge retention

Without regular opportunities to revisit and apply learning, complex knowledge and skills can fade over time.

03

The theory-to-practice gap

Recognising structures in an atlas is not the same as reasoning through a surgical approach.

04

Uneven case exposure

Clinical experience varies across trainees, making it challenging to provide consistent preparation for complex procedures.

You need to prepare trainees for complex surgery, but your teaching time is limited, practical training is costly, and not everyone sees the same cases. Knowing anatomy is essential. Using it to plan a surgical approach takes practice.

The Argus AI approach

From passive observation to active surgical preparation.

Learner in a VR headset reaching out to interact with a virtual model
01 / EXPLORE

See anatomy in three dimensions

Load patient CT and MRI data as volumetric 3D models in VR. Rotate, scale and cross-section structures to map the spatial relationships between vessels, nerves and pathology.

02 / REHEARSE

Think through the surgical approach

Trace the operative corridor in VR before entering the lab: identify landmarks, critical neurovascular structures and anatomical variants relevant to the chosen approach.

03 / REVISIT

Reinforce learning through repetition

Reopen cases and rehearsal scenarios in VR to revisit landmarks and decision points, supporting spaced review, reflection and long-term retention.

Argus AI uses medical imaging to create immersive three-dimensional anatomical experiences. Trainees can engage with complex spatial relationships and explore how anatomy and pathology influence procedural thinking.

Digital rehearsal creates opportunities to revisit cases and consider surgical approaches before supervised practical experience.

For surgical educators

Training opportunities beyond the physical lab.

Support the development of surgical trainees with immersive learning experiences designed to
complement established educational programmes.

Argus case introduction listing the learning objectives beside a 3D head model with surgical corridors and axial, sagittal and coronal MRI views

More opportunities to prepare

Provide an additional way to explore anatomy and approaches outside scheduled laboratory and theatre sessions.

Patient-specific 3D head model with surgical corridors and labelled anatomy cards, explored by hand in the Argus VR headset view

More active engagement

Move beyond passive viewing towards interactive, case-based anatomical exploration.

Argus case step matching anatomical findings to surgical corridors beside a 3D head model and linked MRI views

Stronger connections between knowledge and practice

Help trainees relate imaging, anatomy and procedural planning within a single learning experience.

Surgical trainees working through an Argus case together on laptops

A complementary training resource

Introduce immersive digital learning alongside cadaveric teaching, physical simulation and supervised clinical experience.

Across the learning journey

Support surgical learning from foundational anatomy to procedural preparation.

Argus AI's immersive anatomical approach can be relevant at multiple stages of education, from understanding complex spatial relationships to preparing for supervised operative experience.

Student in a VR headset exploring a patient-specific model while the class follows the headset view on a screen
Foundational learning

Map anatomy and pathology

Rotate, scale and cross-section volumetric models in VR to see spatial relationships that static atlas plates cannot show.

Clinical learning

Read imaging in 3D

Link CT and MRI slices to patient-specific 3D reconstructions, building fluency in radiological anatomy and case reasoning.

Surgical training

Prepare for supervised practice

Rehearse operative corridors, landmarks and decision points in VR to support procedural thinking before supervised cases.

Partners

Developed with clinical and technology partners.

Our partners include an emergency hospital, medical technology companies, an international student surgical network and a startup accelerator.

Discover Argus AI

Help shape the next generation of surgical training.

Explore how immersive anatomical learning and digital rehearsal could complement your training programme and provide new opportunities for surgical preparation.

Contact us

Ask about a focused pilot for your surgical specialty or trainee cohort.

Contact

Let’s connect.

Tell us about your university and we’ll set up a personal walkthrough of Argus.

[email protected]
Evidence-informed education

Grounded in principles of active and repeated learning.

Research across health professions education and surgical training supports distributed practice, retrieval and simulation-based learning. These findings provide a rationale for exploring digital rehearsal as an educational tool, but do not establish Argus AI-specific improvements in retention, competence or patient outcomes.

  1. Dunlosky J, et al. Improving Students’ Learning With Effective Learning Techniques: Promising Directions From Cognitive and Educational Psychology. Psychological Science in the Public Interest. 2013;14(1):4–58. View publication
  2. Kerfoot BP, et al. Online spaced education generates transfer and improves long-term retention of diagnostic skills: a randomized controlled trial. Journal of the American College of Surgeons. 2010;211(3):331–337. Find publication
  3. Cook DA, et al. Technology-enhanced simulation for health professions education: a systematic review and meta-analysis. JAMA. 2011;306(9):978–988. View publication