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

Running, not enrolling · Not applicable

Conditions studied: Pressure Ulcers, Pressure Injuries

In brief

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

Key facts

Study ID
NCT07743385
Run by
Affiliated Hospital of Nantong University
People needed
100
Starts
2026-07-14
Expected to finish
2026-12-30
Last updated by the study team
2026-08-04

Who can join

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

You may qualify if…

You may not qualify if…

Where it is running

Full record on ClinicalTrials.gov

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