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

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Conditions studied: Hard-to-heal Wounds, AI (Artificial Intelligence), Wound Care, Pressure Injuries

In brief

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 facts

Study ID

NCT07619430

Run by

National Taiwan University Hospital

People needed

1000

Starts

2026-06-08

Expected to finish

2027-12-31

Last updated by the study team

2026-06-02

Who can join

Age: 18 and older. Sex: any. Healthy volunteers: not accepted.

You may qualify if…

• (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.

You may not qualify if…

• Wounds whose margins could not be fully included within the imaging field.

Where it is running

• National Taiwan University Hospital Yunlin branch — Douliu, Yunlin, Taiwan

Full record on ClinicalTrials.gov

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