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

NCT07619430 · Status: NOT_YET_RECRUITING · Type: OBSERVATIONAL · Enrollment: 1000

Last updated 2026-06-02

No results posted yet for this study

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.

Conditions

  • Hard-to-heal Wounds
  • AI (Artificial Intelligence)
  • Wound Care
  • Pressure Injuries

Interventions

OTHER

Marker-free wound image registration technology

Marker-free longitudinal wound image registration and wound progression assessment using serial wound photographs.

Sponsors & Collaborators

  • Industrial Technology Research Institute, Taiwan

    collaborator OTHER

  • National Taiwan University Hospital

    lead OTHER

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2026-06-08
Primary Completion
2027-12-31
Completion
2027-12-31

Countries

  • Taiwan

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07619430 on ClinicalTrials.gov