ARANZ Medical Silhouette Wound Management System
Description
Evaluate parameter, depth, and area of a wound (image): The ARANZ Medical Silhouette system is employed in the VA for monitoring and tracking wounds.
Detailed example
Charts and graphs representing wound progression and healing: Silhouette employs Machine Learning (ML) algorithms to automatically detect the wound boundary in an image of a wound that has been captured by the user.
AI / analytics pattern
Computer Vision: AI that processes and interprets visual data (e.g., images and videos).
Automation level / stage
c) Deployed – The use case is being actively authorized or utilized to support the functions or mission of an agency.
Expected benefit
Enhance patient outcome by providing non-biased wound metrics and healing data. Automatically detecting wounds in this manner can save the user time and improve the consistency of wound detection and the measurements that result.
Controls / human review
ATO: Not reported; PIA: Not published