Veterinary Surgical Documentation System logoVetucate AI

Overview / Technical

Offline · Local only

Interval-based surgical documentation and reconstruction infrastructure.

Offline, interval-based documentation system for veterinary surgical procedures. Local processing, deterministic output, structured reports shortly after surgery ends.

Operating stance

Practical documentation, not speculative automation.

Every output is traceable to captured evidence. The system does not infer, reconstruct, or generate beyond what was recorded.

Extraction only

Outputs reflect captured evidence. Nothing is inferred beyond what was recorded.

Interval-bounded

Each 30-second interval is processed in isolation. Context does not bleed across intervals.

Uncertainty preserved

Fields that cannot be reliably extracted surface as "unclear" or "not recorded."

No autonomous action inference

Surgical actions are not inferred, reconstructed, or generated from incomplete data.

Microbatch architecture

Surgery processed as independent bounded intervals.

Each 30-second interval contains a synchronized audio context, synchronized visual context, and structured extraction targets. Intervals are isolated. Corruption does not propagate across them.

Survivability

Completed intervals are sealed immediately. A failure later in surgery does not affect them.

Recoverability

Incomplete intervals are flagged, not hidden. Captured evidence stays usable.

Deterministic processing

Every interval runs the same extraction steps in the same order. No variation between runs.

Long-duration stability

A 4-hour surgery runs as 480 independent intervals. Each one stands alone.

Recovery and survivability

Interruptions are contained at the interval level.

Each completed interval is sealed independently. If a failure occurs mid-surgery, only the active interval at that moment is affected. All prior sealed intervals remain intact and available for reconstruction.

Incomplete intervals surface as flagged records, detectable and documented, not silent gaps.

Hallucination prevention

Constrained extraction, not open-ended generation.

Every output field is predefined by a fixed schema. Models receive only the evidence from the current interval. There is no long-context drift across the full recording. Fields that cannot be reliably extracted are recorded as unclear or not recorded.

Missing procedural events are not inferred. Gaps are flagged explicitly. The system has no pathway for freeform generation at output.

Features

Built as a constrained multimodal documentation engine.

Offline-first processing

Local capture and report generation stay inside the clinic workflow. No cloud dependency.

Interval-based architecture

Surgery is processed as independent 30-second intervals. Each is bounded, recoverable, and independently verifiable.

Deterministic operation

Fixed schemas, ordered stages, and replayable artifacts. No open-ended generation at any stage.

Uncertainty preservation

Information that cannot be reliably extracted surfaces as "unclear" or "not recorded". Never fabricated.

Next steps

Explore the pipeline, performance, and system architecture.

Performance

Processing stages, scaling behavior, and camera configuration benchmarks.

Processing Model

Pipeline

Eight-stage procedural flow from recording through export packaging.

Pipeline Overview

System

Single-machine deterministic architecture, failure modes, and hardware.

System Architecture