Team medicine

One patient. One team. One world.

A shared simulation is designed to let human clinicians and AI colleagues coordinate around the same patient.

Shared backend foundations · synchronized multiplayer experience planned

Discuss your use case Explore the complexes

01 / Simulation architecture

Practice the handover.

The intended experience brings surgeons, anesthesiologists, nurses and residents together with AI staff and patients.

Mixed human and AI teams
Role-specific permissions and responsibilities
Communication, escalation and shared situational awareness

02 / Simulation architecture

Keep state consistent.

Identity and state version checks are present in the prototype backend. Real-time multiplayer presentation, replication and network resilience still need implementation.

Authoritative actions and event history
Concurrent-client behavior to be validated
Session orchestration and spatial audio planned

03 / Simulation architecture

Review the whole team.

The analytics roadmap connects conversations, decisions and patient progression so instructors can examine how a team worked.

Communication and task sequence
Recognition and escalation timing
Resource use and team coordination

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

Architecture in context

Continuity connects the care team.

The proposed shared world carries one patient's history across encounters, teams and facilities.

Concept studyIllustrative patient pathway · planned longitudinal continuity

Encounter 01 / Same patient identity

Home / accident

A patient story begins before arrival.

Continuing record: Identity, history and circumstances
Connected team: Patient · relatives

Questions for an evaluation

Scope the model before deployment.

Define the clinical task, available hardware, intended learners and required evidence before deciding which capabilities belong in an institutional evaluation.

01Can multiple clinicians train together?

Mixed human and AI teamwork is part of the design. A synchronized multiplayer experience is planned; the current prototype provides shared-backend foundations rather than a completed multi-user product.

02Can hospitals create custom scenarios?

Educator authoring is planned for patients, conditions, objectives, teams, complications and rubrics. It is intended to reduce reliance on Unreal source changes, but a production authoring interface is not yet available.

03Can AESORYX run privately or on-premises?

Local inference is used in the current prototype. Private cloud and on-premises delivery are deployment directions to assess with institutions; a production deployment package has not been established.

04Is AESORYX clinically validated or a medical device?

No clinical validation, regulatory approval or clinical decision-support status is claimed. The current work is a simulation prototype. Clinical judgment, patient care and regulated device use require separate governance and evidence.

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.

Request a demo Contact AESORYX