AESORYX / Research

Build evidence as carefully as the world.

Persistent simulation creates questions about model fidelity, agent behavior, human factors and learning. The research direction begins with explicit assumptions and reproducible evaluation.

Research priorities · no published clinical validation claimed

Discuss your use case Explore the complexes

Research agenda

Questions worth testing.

These are proposed areas of study, not completed trials, publications or outcome claims.

R01 / Proposed research

Patient and model fidelity

Which observations and consequences are necessary for a specific educational or research task? Define assumptions, reference data and an appropriate validation method before increasing model complexity.

Physiology · procedures · device coupling

R02 / Proposed research

Grounded medical agents

Can role-aware agents respect information boundaries, preserve relevant memory and propose actions without bypassing world authority? Test failure cases alongside successful dialogue.

Role context · action validation · auditability

R03 / Proposed research

Human factors and team performance

How do persistence, immersive interaction and AI colleagues affect communication, workload and handover? Use a defined population, comparator and outcome measures.

Communication · usability · situational awareness

R04 / Proposed research

Educational measurement

Do recorded actions and timelines support valid assessment of the intended objective? Rubrics, scoring and learning-transfer claims require independent educational evaluation.

After-action review · assessment validity

Architecture in context

Inspect a sequence, not just a score.

This synthetic timeline illustrates the intended connection between observations, communication and recorded actions. It is not a validated measurement instrument.

Concept studySynthetic observations · educational website illustration

14:02 / After-action view

Patient arrival

92bpm

The initial observations enter the illustrative record.

Fixed synthetic data, not a physiological model or clinical reference. Patient-state-derived analytics are a planned capability.

01 / Simulation architecture

A reproducible question

Agree an intended use, protocol, model version and test population. Document what the simulation represents and what remains a proxy.

Clearly scoped endpoints
Comparison and measurement plan
Explicit uncertainty and exclusions

02 / Simulation architecture

Independent review

Clinical and educational experts should evaluate suitability for a stated purpose. An immersive presentation does not itself establish clinical or instructional fidelity.

Expert review and governance
Repeatability and failure analysis
Appropriate human-subject oversight where relevant

03 / Simulation architecture

Transparent reporting

Publish or share findings only after the study exists and its limitations are documented. No peer-reviewed results, customers or partner institutions are asserted on this site.

Methods and model assumptions
Measured results and limitations
Evidence appropriate to the claim

A clear development boundary

Orthopedics is the initial prototype focus. Specialty scope, advanced physiology, institutional authoring and multiplayer describe the platform direction. No clinical validation or regulatory approval is claimed.

See what exists today

Research collaboration

Bring a question with a measurable answer.

Institutions and medical-device teams can discuss a specific model, workflow or interaction study. Begin with scope, required evidence and the technical work needed to support the protocol.

Discuss a research question

No patient records are requested through the website contact form.

For institutions building what comes next

Build the next generation
of medical simulation.

Start with your specialty, your team and a concrete learning or research objective.

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