【摘要】 急性胰腺炎是一种需要早期干预的消化系统急症，当进展为中度重症或重症急性胰腺炎时，患者病死率显著升高。机器学习凭借强大的计算和学习能力，充分利用临床数据对急性胰腺炎进行早期预测，取得了显著成果。本文综述机器学习在预测急性胰腺炎严重程度、并发症和死亡中的研究进展，为进一步通过人工智能协助急性胰腺炎临床诊疗提供理论依据和新思路。更多还原

【Abstract】 Acute pancreatitis(AP) is a gastrointestinal disease that requires early intervention, and when it progresses to moderate-severe AP(MSAP) or severe AP(SAP), there will be a significant increase in the mortality rate of patients.Machine learning(ML) has achieved great success in the early prediction of AP using clinical data with the help of its powerful computational and learning capabilities. This article reviews the research advances in ML in predicting the severity, complications, and death of AP, so as to provide a theoretical basis and new insights for clinical diagnosis and treatment of AP through artificial intelligence.更多还原