Abstract: Postoperative surgical site infection is a common complication that affects patient prognosis and increases the burden of healthcare. In recent years, Artificial Intelligence (AI) has provided novel solutions for surgical site infection management. This article reviews the applications of AI in this field, with a focus on its use in preoperative risk prediction and intelligent monitoring, real-time intraoperative monitoring and intervention, early postoperative warning and decision support. The current challenges are analyzed, such as data quality and algorithmic interpretability. These findings aim to provide theoretical and practical guidance for enhancing the precision and intelligence of surgical site infection management.

Key words: Artificial Intelligence; machine learning; operating room management; surgical site infection; control of nosocomial infection; predictive model; real-time monitoring