AI (Artificial Intelligence), Hard-to-heal Wounds, Pressure Injuries, Wound Care
Conditions
Keywords
chronic wounds, wound assessment, medical AI, semantic segmentation, longitudinal image registration, marker-free, wound progression index, home-based care, telemedicine, clinical validation
Brief 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.
Detailed description
Participants receiving routine wound care will undergo standardized wound photography during dressing changes. Longitudinal wound images will be analyzed to develop and validate a marker-free wound progression assessment method. No treatment assignment or modification of standard clinical care will occur.
Interventions
OTHERMarker-free wound image registration technology
Marker-free longitudinal wound image registration and wound progression assessment using serial wound photographs.
Sponsors
National Taiwan University Hospital
Industrial Technology Research Institute, Taiwan
Study design
Observational model
COHORT
Time perspective
PROSPECTIVE
Eligibility
Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No
Inclusion criteria
* (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.
Exclusion criteria
* Wounds whose margins could not be fully included within the imaging field.
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Agreement between marker-free and marker-based wound progression indices | Up to 6 months | To evaluate the agreement between the Marker-Free Wound Progression Index (WPI\_MF) and the gold-standard marker-based Wound Progression Index (WPI\_GS) derived from longitudinal wound photographs. |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Minimum image overlap threshold for reliable analysis | Up to 6 months | To determine the minimum overlap ratio required to achieve statistically acceptable agreement. |
Countries
Taiwan
Contacts
CONTACTHui-Hsiu Chang
Outcome results
None listed