Objective To summarize the current research status of artificial intelligence (AI) in burn diagnosis and treatment, and to anticipate its future development direction. Methods Research literature on the application of AI in burn diagnosis and treatment both domestically and internationally in recent years was reviewed. The progress of AI application in various stages of burn diagnosis and treatment was summarized, and the challenges in its clinical application were analyzed. Results AI has demonstrated its value in improving diagnosis and treatment efficiency and prediction accuracy in multiple aspects, including burn wound diagnosis and severity assessment, perioperative decision making and precise intervention, personalized rehabilitation, and prognosis prediction. However, it also faces challenges related to data, models, and clinical translation. Conclusion AI exhibits significant potential in burn diagnosis and treatment. In the future, it is necessary to address existing challenges such as the scarcity of data, privacy risks, insufficient interpretability, and clinical translation barriers, and promote its application in clinical practice.
