Chronic wounds，as a critical challenge in global public health，urgently require technological innovation in management and assessment approaches. Artificial intelligence （AI），with its powerful data analysis and pattern recognition capabilities，has demonstrated significant application value in the precision assessment，treatment decision-making assistance，remote management，and personalized intervention support for chronic wounds. This paper systematically reviews the current status of AI technologies applied to chronic wound management and clinical practices both domestically and internationally over the past five years，deeply analyzes existing challenges and limitations，and provides forward-looking prospects for future development trends. The aim of this review is to provide a reference for technological innovation and clinical translation in this field.