Flagship Product

AI-Powered Surgical Video Analysis

Phase timeline transcription for laparoscopic procedures, with optional tool detection and anatomy segmentation.

AI Processing Pipeline: Phase Recognition, Tool Detection, Organ Segmentation — from input surgical video to outputs

Full AI pipeline: input video → phase recognition → tool detection → organ segmentation → structured outputs

Important Disclaimer

For workflow review and navigation only. NOT for clinical decision-making, surgical guidance, or patient diagnosis.

Outputs

What It Produces

Three output formats to fit your existing workflows and tooling.

Timeline JSON

Contiguous phase segments with start time, end time, phase label, and confidence score. Machine-readable and easily parseable.

{ "phase": "Dissection", "start": 142.3, "end": 301.8, "confidence": 0.94 }

Per-Second CSV

Row-by-row output: time_sec, phase, confidence—plus optional tool and anatomy columns when those modules are enabled.

time_sec, phase, confidence, tool_primary
142, Dissection, 0.94, Grasper

Interactive UI

A web-based viewer to review the phase timeline, jump to any segment, and overlay tool/anatomy annotations on the video.

Pipeline

How It Works

1

Ingest Video

Upload MP4/MKV surgical video via UI or API. Supports full HD and 4K.

2

Sample Frames

Adaptive frame sampling extracts key frames while managing compute efficiently.

3

Frame Encoding

A pretrained visual backbone converts frames to rich feature representations.

4

Temporal Modeling

A sequence model (Transformer/LSTM) predicts surgical phase for each frame using temporal context.

5

Tool Detection (Optional)

A secondary classifier identifies surgical instruments per frame with bounding boxes.

6

Anatomy Segmentation (Optional)

Pixel-level segmentation model delineates anatomical structures and organs.

7

Post-processing

Smoothing, confidence calibration, and segment merging produce clean, structured output.

Deployment

Deployment Options

Local / On-Premises

Fully air-gapped deployment on your own hardware. No data leaves your facility.

Private Cloud

Deploy in your AWS, GCP, or Azure VPC with your security controls and access policies.

Containerized UI

Docker Compose stack includes the inference server, video processor, and web UI—spin up in minutes.

What's included in every deployment

Docker Compose stack
Inference API server
Web-based review UI
JSON + CSV export
REST API endpoints
Basic auth / access control
Example integration code
Deployment documentation

Reminder: For workflow review and navigation only. NOT for clinical decision-making, surgical guidance, or patient diagnosis.

See it in action

Schedule a demo and we'll walk you through the pipeline with sample surgical video data.