AI Wound Analysis
Objective wound assessment with ai precision
Capture precise, non-contact measurements and tissue classification, transforming subjective wound photos into objective, traceable clinical data.
Turn photos into clinical data
Subjective wound assessment leads to documentation gaps and inconsistent care. Ekagra’s AI Wound Analysis provides a standardized, objective method for tracking wound progression, essential for proving medical necessity and driving evidence-based treatment decisions.
- Precise Measurement
Non-contact, precise measurement
Use a standard mobile device to capture images. Our AI automatically calculates length, width, and area with sub-millimeter accuracy, eliminating the need for manual rulers.
- Tissue Classification
Automated tissue classification
The AI identifies and quantifies tissue types (e.g., granulation, slough, eschar), providing an objective measure of the wound bed for consistent documentation.
99%
Precision in wound length, width, and area calculation.
25%
Faster identification of non-healing or deteriorating wounds.
100%
Uniformity in tissue classification across all providers.
-5 min
Saved per wound assessment compared to manual measurement.
Outcomes that move access, cost, and safety
Objective visual assessment
Transform subjective photos into objective data with automated tissue classification and measurement.
Predictive healing insights
Visualize healing trajectories and identify at-risk wounds before they become complications.
Prove medical necessity
Provide irrefutable visual and data-driven evidence to payers for advanced treatment approval.
Traceable clinical history
Maintain a complete, auto-mapped visual history of every wound site for total clinical transparency.