Point-and-Capture Wound Imaging: How Auto-Measurement Actually Works
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A technical walkthrough of the AI wound imaging agent — from phone camera to length, width, depth, and tissue classification.
Manual wound measurement with a ruler and a probe is slow, inconsistent between clinicians, and hard to defend in an audit. Here's how the imaging agent replaces it.
The capture step
Open WoundScribe on any smartphone, frame the wound in view, and tap once. No calibration marker, no reference sticker, no separate hardware. The AI-powered wound imaging agent uses depth data and computer vision to establish scale automatically.
What gets measured
- Length and width in centimeters
- Depth where geometry allows
- Area computed from the wound boundary, not a bounding box
- Tissue composition — percentage of granulation, slough, eschar, and epithelial tissue
- Periwound status — maceration, erythema, callus
Why boundary-based area matters
Most paper charts record length × width, which overestimates area for irregular wounds by 30–40%. Boundary-based measurement is the metric the Healing Trajectory agent needs to accurately flag stalls — see the Healing dashboard for how that data compounds visit over visit.
Consistency across clinicians
Because the algorithm segments the wound the same way every time, week-over-week measurements from different clinicians in the same practice stay comparable. That's a meaningful improvement for group practices and mobile teams.
Where the measurement lands
The measurements flow directly into the note drafted by the AI scribe for wound care, so you don't retype numbers. The coding agent then uses the wound size and tissue type to justify debridement CPT selection.
Field use
Mobile providers rely on this heavily — see WoundScribe On Wheels for mobile providers for the bedside workflow.