Encephaloceles are herniations of brain through skull defects with vast anatomical heterogeneity. AURORA-ENCEPH pairs a high-resolution anatomical "prism" with a generative surgical forge.
A non-functional preview of the AURORA-ENCEPH surface. Composable panels, logged overrides, explainable end-to-end. Pilot sites tune this to their own workflow.
ENCEPH-PRISM Anatomical Prism81%ENCEPH-FORGE Surgical Forge67%AURORA-ENCEPH pairs a high-resolution anatomical prism with a generative closure forge. Patient-specific implants and grafts, planned against the right atlas, for one of neurosurgery's most heterogeneous anomalies.
Encephaloceles are among the most heterogeneous neurosurgical anomalies. Closure is patient-specific, often resource-constrained, and outcomes depend on details no textbook captures. AURORA-ENCEPH builds a high-resolution anatomical atlas and a forge for personalised closures.
Subtype matters: frontoethmoidal, parietal and occipital encephaloceles differ in anatomy, surgical approach, aesthetic expectations and outcome envelopes. ENCEPH-PRISM keeps these atlases distinct rather than averaging them away.
ENCEPH-FORGE turns the planning conversation into a concrete artefact — a printable, sterilisable phantom and a draft implant geometry. The point is not to remove surgeon judgement; the point is to give it something to react to before theatre.
We are not building a product around Encephalocele. We are seeding an infrastructure — so that any hospital with the will to use it can.
AURORA-ENCEPH pairs a high-resolution anatomical prism with a generative closure forge. Defect topology in; patient-specific implant out; surgeon-reviewed before any print job.
Every AURORA-ENCEPH subsystem can be adopted alone or as part of the bundle. Each ships with its own model cards, eval results and a one-command install.
Voxel-precise atlas of frontoethmoidal, parietal and occipital subtypes.
Voxel-precise atlas of frontoethmoidal, parietal and occipital subtypes — preserves the differences instead of averaging.
Generative closure planning with patient-specific implants and grafts.
Generative closure planning. Produces patient-specific implant and graft topologies for review and printing.
Inputs the module reads from your existing systems, outputs it returns to them, the protocols it speaks, and the lifecycle of one case as it moves through AURORA-ENCEPH.
Voxel-precise atlas of frontoethmoidal, parietal and occipital subtypes — preserves the differences instead of averaging.
Generative closure planning. Produces patient-specific implant and graft topologies for review and printing.
2 drafts by the module team and pilot collaborators. Each documents one slice of the substrate — methods, evaluation protocol, lessons. Slot PDFs in as they're ready; the entries point to placeholders until then.
These are the endpoints AURORA-ENCEPH is built to measure across pilot deployments. The targets below are pilot goals, not retrospective results.
On forge-planned closures vs historical baseline (target).
Blinded panel rating at 12 months.
From DICOM in to sterilizable phantom out.
Better long-term tracking of cohort.
Every override logged with reason.
Tighter spread of operative durations.
pip install to a hospital deploy in one afternoon.Available to pilot partners today on private registries. At public alpha (Q4 2026) the same images, weights and signatures ship under MIT on public registries. For the full per-product download grid, see the unified download page.
pip install aurora-enceph
aurora doctor enceph # → AURORA-ENCEPH ✓ python ✓ atlas ✓ forge
from aurora.enceph import plan
artefact = plan(case_id="bench/enceph/case-0002")
artefact.export_stl("phantom.stl")AURORA-ENCEPH is designed to run on hardware that already exists inside hospital networks. CPU-only inference is supported for the lighter subsystems; the heavier ones benefit from a recent GPU but do not require one. A single modern workstation handles routine cases under the latency target.
Federated deploys do not require open inbound ports. The runtime opens an outbound mTLS connection to the federation control plane; model updates are signed, audited and pulled. Patient data never traverses the federation. Consent metadata is a first-class object — subsystems with an explicit consent dependency refuse to run on records that lack the appropriate cohort policy.
Most pilot sites land on AURORA-ENCEPH with an existing system in place. The recommended path is: install alongside, compare outputs on a held-out cohort for one quarter, then move read-only surfaces to AURORA, and decide on the rest. Reversibility is a design goal — nothing in the install creates lock-in.
For the full per-product, per-platform download buttons (macOS / Windows / Linux installers + pip / docker / helm / rust commands), see the unified download page. Each subsystem of AURORA-ENCEPH is independently downloadable there.
AURORA is in private pilot today and opens to the world at public alpha in Q4 2026 under MIT. If you carry the weight of these diseases — as a clinician, scientist, builder, patient or advocate — there is a seat at the table.