AI-Based Wound Monitoring: Automated Wound Progression Assessment Via Marker-Free Image Sequence
Trial statusNot yet recruiting
Trial phaseNot listed
Trial typeObservational
Biological sexAll
Age18+
SponsorNational Taiwan University Hospital
About this trial
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.
Eligibility criteria
Qualifiers
(1) Presence of a hard-to-heal wound that has remained unhealed for more than one month. (2)The wound can be photographed according to the standardized imaging protocol. (3)The participant was aged 18 years or older and provided informed consent personally or via a legally authorized representative, with a signed informed consent form.
Disqualifiers
Wounds whose margins could not be fully included within the imaging field.
Trial design
Treatments tested in this trial
- Marker-free wound image registration technology
Treatment groups
1,000 Participants
are divided into 1 treatment groupSponsors and collaborators
National Taiwan University Hospital
Lead sponsor
Industrial Technology Research Institute, Taiwan
Collaborator
Source ClinicalTrials.gov