AI service — AI Medical · Surgery and endoscopy
Surgical workflow analysis
Recognise surgical phases, instruments and actions in laparoscopic video, and segment instruments and anatomy frame by frame.
Send us your data volume, throughput and latency targets and any constraint we should design around. You get a proposed configuration, a benchmark on your own data, and a known cost per unit of work before you commit.
Operating-theatre video is recorded far more often than it is analysed. These models label the phase of an operation, detect the instruments in view and segment them, which turns an archive of recordings into structured data about how procedures actually run.
Video arrives from your recording system and returns as phase labels with timings, instrument detections and masks. Output supports training review, theatre utilisation analysis and research — not intra-operative guidance, for which no strong open model exists.
Every output is clinical decision support, not a diagnosis: a qualified professional reviews and signs it. Where clinical use requires regulatory approval in your jurisdiction, that approval remains yours to hold — we provide the infrastructure, the model operations and the audit trail behind it.
What we size for
We build the surgical workflow analysis pipeline around the workload you actually have: data format, accuracy target, latency, throughput, concurrency, retention and scheduling. Start with a pilot, then scale production capacity without changing a line of your integration.
Common use cases
- Procedure review — Break a recorded operation into phases so a trainer reviews the relevant segment.
- Theatre analytics — Measure phase durations across a series of procedures.
- Instrument tracking — Segment instruments and anatomy for research on technique and safety.
More Surgery and endoscopy services
- Endoscopy video analysisEndoscopy video analysis service →