Candidate results with user control
AI Surgical Video Analysis and Structured Review
SurgiCol helps users locate candidate phases, steps, events, and highlights in long surgical videos, then inspect and edit the results in a video workspace.
Product relationship
Analysis and editing take place in the SurgiCol surgical video workspace. Cases and video material can be organized and retrieved through SurgiHub.
Who this is for
Surgeons reviewing recorded cases
Teams preparing surgical education material
Clinical researchers organizing video datasets
User-controlled workflow
1. Select a permitted surgical video
2. Generate candidate phases, steps, events, and highlights
3. Inspect and revise the proposed timeline
4. Edit and export material for the intended use
Workflow outputs
Candidate phase and step timeline
Highlights awaiting user review
User-edited review or teaching material
Capabilities and boundaries
Identify video structure
Generate candidate phases, steps, events, or highlights according to the selected processing modules and video content; results vary by procedure and source quality.
Support navigation and editing
Organize long videos into timelines and candidate clips that remain linked to the source video for user inspection.
Keep the boundary clear
Outputs support video organization and review. They are not diagnoses, treatment recommendations, or surgical quality conclusions.
Questions and answers
Does the AI automatically delete or publish surgical clips?
No. It generates candidate timelines and clips. Users inspect, revise, remove, and decide what to export.
Are AI analysis results clinical conclusions?
No. They support video organization, navigation, and review and do not replace clinical judgment or the medical record.