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

Inclusion Criteria: * Inclusion Criteria: 1. Aged ≥18 years old; 2. Clinically diagnosed pressure injury of stage I-IV; 3. Patients or legal guardians sign informed consent; 4. Able to complete wound image acquisition. Exclusion Criteria: 1. Wounds with severe bleeding, active infection or extensive necrotic tissue unsuitable for film attachment; 2. Patients with severe skin allergic diseases who cannot tolerate transparent grid film; 3. Patients unable to cooperate with image collection; 4. Pregnant women; 5. Patients participating in other concurrent wound intervention trials. Exclusion Criteria: \-