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

NCT07743385 · Status: ACTIVE_NOT_RECRUITING · Phase: NA · Type: INTERVENTIONAL · Enrollment: 100

Last updated 2026-08-04

No results posted yet for this study

Summary

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

Conditions

  • Pressure Ulcers
  • Pressure Injuries

Interventions

DIAGNOSTIC_TEST

AI Grid Image Recognition Measurement

A sterile transparent grid measurement film (single grid area 0.25 cm²) is attached to the pressure ulcer wound. After wound image acquisition, the AI system automatically identifies grids covered by the wound to calculate pressure ulcer wound area.

DIAGNOSTIC_TEST

Traditional Manual Grid Counting Measurement

Based on the same wound photo with transparent grid film, trained clinical staff manually count grids covered by pressure ulcer; grids covered more than half are counted, grids less than half covered are excluded to calculate wound area.

Sponsors & Collaborators

  • Affiliated Hospital of Nantong University

    lead OTHER

Principal Investigators

  • Honglei Wu, postgraduate · Affiliated Hospital of Nantong University

  • Yajun Li, postgraduate · Hospital of Bengbu Medical University

  • Meijuan Lan, postgraduate · Second Affiliated Hospital, Zhejiang University, School of Medicine

Study Design

Allocation
NA
Purpose
DIAGNOSTIC
Masking
NONE
Model
SINGLE_GROUP

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2026-07-14
Primary Completion
2026-09-15
Completion
2026-12-30

Countries

  • China

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07743385 on ClinicalTrials.gov