- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT07619430
AI-Based Wound Monitoring: Automated Wound Progression Assessment Via Marker-Free Image Sequence
May 27, 2026 updated by: National Taiwan University Hospital
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.
Study Overview
Status
Not yet recruiting
Intervention / Treatment
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.
Study Type
Observational
Enrollment (Estimated)
1000
Contacts and Locations
This section provides the contact details for those conducting the study, and information on where this study is being conducted.
Study Contact
- Name: Hui-Hsiu Chang
- Phone Number: 886-972655406
- Email: huihsiu@gmail.com
Study Locations
-
-
Yunlin
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Douliu, Yunlin, Taiwan, 640
- National Taiwan University Hospital Yunlin Branch
-
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Participation Criteria
Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
No
Sampling Method
Non-Probability Sample
Study Population
Adult patients with hard-to-heal wounds located on body sites that can be fully captured within a single standardized image.
Description
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.
Study Plan
This section provides details of the study plan, including how the study is designed and what the study is measuring.
How is the study designed?
Design Details
Cohorts and Interventions
Group / Cohort |
Intervention / Treatment |
|---|---|
|
patients with hard-to-heal wounds
|
Marker-free longitudinal wound image registration and wound progression assessment using serial wound photographs.
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Agreement between marker-free and marker-based wound progression indices
Time Frame: 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.
|
Up to 6 months
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Minimum image overlap threshold for reliable analysis
Time Frame: Up to 6 months
|
To determine the minimum overlap ratio required to achieve statistically acceptable agreement.
|
Up to 6 months
|
Collaborators and Investigators
This is where you will find people and organizations involved with this study.
Collaborators
Publications and helpful links
The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.
General Publications
- Bowling FL, King L, Paterson JA, Hu J, Lipsky BA, Matthews DR, Boulton AJ. Remote assessment of diabetic foot ulcers using a novel wound imaging system. Wound Repair Regen. 2011 Jan-Feb;19(1):25-30. doi: 10.1111/j.1524-475X.2010.00645.x. Epub 2010 Dec 6.
- Bloemen MC, van Zuijlen PP, Middelkoop E. Reliability of subjective wound assessment. Burns. 2011 Jun;37(4):566-71. doi: 10.1016/j.burns.2011.02.004. Epub 2011 Mar 8.
- Foltynski P. Ways to increase precision and accuracy of wound area measurement using smart devices: Advanced app Planimator. PLoS One. 2018 Mar 5;13(3):e0192485. doi: 10.1371/journal.pone.0192485. eCollection 2018.
- Liu TJ, Wang H, Christian M, Chang CW, Lai F, Tai HC. Automatic segmentation and measurement of pressure injuries using deep learning models and a LiDAR camera. Sci Rep. 2023 Jan 13;13(1):680. doi: 10.1038/s41598-022-26812-9.
- Anisuzzaman DM, Wang C, Rostami B, Gopalakrishnan S, Niezgoda J, Yu Z. Image-Based Artificial Intelligence in Wound Assessment: A Systematic Review. Adv Wound Care (New Rochelle). 2022 Dec;11(12):687-709. doi: 10.1089/wound.2021.0091. Epub 2021 Dec 20.
- Isensee F, Jaeger PF, Kohl SAA, Petersen J, Maier-Hein KH. nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation. Nat Methods. 2021 Feb;18(2):203-211. doi: 10.1038/s41592-020-01008-z. Epub 2020 Dec 7.
- Hallett CE, Austin L, Caress A, Luker KA. Wound care in the community setting: clinical decision making in context. J Adv Nurs. 2000 Apr;31(4):783-93. doi: 10.1046/j.1365-2648.2000.01348.x.
- Chen L, Cheng L, Gao W, Chen D, Wang C, Ran X. Telemedicine in Chronic Wound Management: Systematic Review And Meta-Analysis. JMIR Mhealth Uhealth. 2020 Jun 25;8(6):e15574. doi: 10.2196/15574.
- Olsson M, Jarbrink K, Divakar U, Bajpai R, Upton Z, Schmidtchen A, Car J. The humanistic and economic burden of chronic wounds: A systematic review. Wound Repair Regen. 2019 Jan;27(1):114-125. doi: 10.1111/wrr.12683. Epub 2018 Dec 2.
Study record dates
These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.
Study Major Dates
Study Start (Estimated)
June 8, 2026
Primary Completion (Estimated)
December 31, 2027
Study Completion (Estimated)
December 31, 2027
Study Registration Dates
First Submitted
May 27, 2026
First Submitted That Met QC Criteria
May 27, 2026
First Posted (Actual)
June 2, 2026
Study Record Updates
Last Update Posted (Actual)
June 2, 2026
Last Update Submitted That Met QC Criteria
May 27, 2026
Last Verified
May 1, 2026
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
- 202603061RINB
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
YES
IPD Plan Description
wound images
IPD Sharing Time Frame
starting 6 months after publication
IPD Sharing Access Criteria
Requests must include a structured research proposal specifying the objectives, analysis plan, and data required.
All requests will be reviewed by the corresponding investigator and the study's principal research team to ensure scientific validity, ethical compliance, and protection of participant confidentiality.
Additional approval from an institutional review board or ethics committee may be required depending on the nature of the proposed analysis.
IPD Sharing Supporting Information Type
- STUDY_PROTOCOL
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
No
Studies a U.S. FDA-regulated device product
No
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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