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AI-Based Wound Monitoring: Automated Wound Progression Assessment Via Marker-Free Image Sequence
Sponsor: National Taiwan University Hospital
Summary
This study aims to develop a low-cost, marker-free intelligent wound assessment system that can analyze wound photos taken with a standard smartphone. By comparing wound images over time, the system will generate a quantifiable Wound Progression Index (WPI) to provide objective feedback on whether a wound is improving, stable, or worsening. The long-term goal is to support early detection of wound deterioration and improve wound care in both clinical and home settings.
Key Details
Gender
All
Age Range
18 Years - Any
Study Type
OBSERVATIONAL
Enrollment
1000
Start Date
2026-06-08
Completion Date
2027-12-31
Last Updated
2026-06-02
Healthy Volunteers
No
Interventions
Marker-free wound image registration technology
Marker-free longitudinal wound image registration and wound progression assessment using serial wound photographs.
Locations (1)
National Taiwan University Hospital Yunlin branch
Douliu, Yunlin, Taiwan