[Current status, representative devices, and future development trends of wound measurement technologies]

Wound measurement plays a critical role in wound repair and chronic disease management, its accuracy directly influences the development of personalized treatment plans and the evaluation of wound healing progress. Although traditional one-dimensional measurement methods (such as the ruler method and the probe method) are simple to use, they are unable to meet modern clinical demands due to insufficient accuracy and consistency. In recent years, two-dimensional imaging methods, three-dimensional imaging methods, and the corresponding intelligent measurement devices have become mainstream of wound measurement. By employing digital image processing, three-dimensional modeling, and artificial intelligence technologies, the measurement accuracy has been significantly improved, providing multidimensional data support for the assessment of complex wounds. This article systematically reviews the current development status of wound measurement technologies, representative devices, and their clinical applications. It also explores future directions for optimization, including the integration of artificial intelligence, multi-modal data fusion, and privacy protection. The aim is to provide practical guidance and technical references for clinicians and researchers.