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

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.

Inclusion criteria

• 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.

Exclusion criteria

• 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

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