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临床试验/NCT07743385
NCT07743385进行中(未招募)不适用

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

Affiliated Hospital of Nantong University3 个研究点 分布在 1 个国家目标入组 100 人开始时间: 2026年7月14日最近更新:
适应症
干预措施

试验速览

阶段
不适用
状态
进行中(未招募)
入组人数
100
试验地点
3
主要终点
Pressure injury wound area

研究概览

简要总结

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

详细描述

This is a single-arm, self-controlled clinical trial enrolling adult inpatients with pressure ulcers. All enrolled subjects receive routine standardized wound care. A sterile transparent dressing printed with uniform standard grids will be applied onto the pressure ulcer wound surface for one-time image capture. Based on the single acquired wound image, two area measurement approaches will be performed sequentially: automated measurement via the AI grid image recognition system and manual measurement using the traditional grid counting method. The primary outcomes include single measurement operation time and the consistency of wound area results obtained from the two measurement techniques. All measurement data will be collected and statistically analyzed to verify whether AI grid recognition can achieve rapid and reliable area assessment of pressure ulcers in clinical settings.

研究设计

研究类型
Interventional
分配方式
Na
干预模型
Single Group
主要目的
Diagnostic
盲法
None

盲法说明

This study adopts an open-label design. All participants, care providers, investigators and outcome assessors are aware of the measurement method being used. Blinding is not feasible due to the obvious differences in the operation procedures and implementation modes between the AI grid image recognition measurement and the traditional manual grid counting measurement.

入排标准

年龄范围
18 Years 至 —(Adult, Older Adult)
性别
All
接受健康志愿者

入选标准

  • Inclusion Criteria:
  • Aged ≥18 years old;
  • Clinically diagnosed pressure injury of stage I-IV;
  • Patients or legal guardians sign informed consent;
  • Able to complete wound image acquisition.

排除标准

  • Wounds with severe bleeding, active infection or extensive necrotic tissue unsuitable for film attachment;
  • Patients with severe skin allergic diseases who cannot tolerate transparent grid film;
  • Patients unable to cooperate with image collection;
  • Pregnant women;
  • Patients participating in other concurrent wound intervention trials.
  • Exclusion Criteria:

研究组 & 干预措施

Single Wound Measurement Group

Experimental

All participants in this group receive standardized pressure ulcer wound measurement with a sterile transparent grid film at one single time point. After wound image capture, two measurement methods are carried out successively: AI grid intelligent recognition measurement and traditional manual grid counting measurement. The study compares the operation time and measurement consistency of the two evaluation methods on the same wound.

干预措施: AI Grid Image Recognition Measurement (Diagnostic Test)

Single Wound Measurement Group

Experimental

All participants in this group receive standardized pressure ulcer wound measurement with a sterile transparent grid film at one single time point. After wound image capture, two measurement methods are carried out successively: AI grid intelligent recognition measurement and traditional manual grid counting measurement. The study compares the operation time and measurement consistency of the two evaluation methods on the same wound.

干预措施: Traditional Manual Grid Counting Measurement (Diagnostic Test)

结局指标

主要结局

Pressure injury wound area

时间窗: Baseline

To compare pressure injury area values obtained by AI automatic grid recognition measurement and manual grid counting gold standard.

次要结局

  • Wound measurement operation duration(Baseline)

研究者

申办方类型
Other
责任方
Principal Investigator
主要研究者

Honglei Wu

Associate Chief Nurse

Affiliated Hospital of Nantong University

研究点 (3)

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