AI-Based Wound Monitoring: Automated Wound Progression Assessment Via Marker-Free Image Sequence

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.

NCT Number	NCT07619430
Lead Sponsor	National Taiwan University Hospital Collaborators: Industrial Technology Research Institute, Taiwan
Conditions	Hard-to-heal Wounds, AI (Artificial Intelligence), Wound Care, Pressure Injuries
Enrollment	1,000 participants
Start Date	2026-06-08
Primary Completion	2027-12-31 (estimated)
Study Completion	2027-12-31 (estimated)
Updated on ClinicalTrials.gov	2026-06-02