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Study identifier: NCT07743385 Synced from ClinicalTrials.gov · August 06, 2026
● Study status: Active Not Recruiting

Research and Application Evaluation of Accurate Pressure Ulcer Area Measurement Technology Based on AI Grid Intelligent Recognition: A Self-controlled Study

Condition: Pressure Ulcers · Pressure Injuries  ·  Sponsor: Affiliated Hospital of Nantong University

PhaseNA
Planned participants100
Who can joinAll sexes, 18 Years to no upper limit
Healthy volunteersNo

About this study

The goal of this clinical trial is to learn if AI grid image recognition can measure pressure ulcer wound area accurately and efficiently in adult patients with pressure ulcers. The main questions it aims to answer are: * Can AI grid image recognition shorten the single measurement time of pressure ulcer wound area? * Is the wound area measured by AI grid image recognition consistent with the result from traditional manual grid counting? Researchers will compare AI grid image recognition measurement with traditional manual grid counting measurement on the same pressure ulcer wound image collected at a single time point to see if AI recognition achieves comparable accuracy with less operation time. Participants will: * Have standardized transparent grid dressing applied on their pressure ulcer wound * Undergo one-time wound image collection * Receive sequential wound area measurement using both methods on the captured single wound image

This description comes directly from the study's public registry record.

Talk to the study team

No contact information is available for this study as per the public registry record.

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Locations (3)

The First Affiliated Hospital of Bengbu Medical UniversityBengbu, Anhui, China
Affiliated Hospital of Nantong UniversityNantong, Jiangsu, China
the Second Affiliated Hospital of Zhejiang University School of Medicine.Hangzhou, Zhejiang, China

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