【摘要】 肝衰竭是由多种因素引起的严重肝损害，导致肝脏合成、解毒、代谢和生物转化功能严重障碍或失代偿，出现以黄疸、凝血功能障碍、肝肾综合征、肝性脑病及腹水等为主要表现的一组临床综合征，早期精准预后预测对改善患者临床结局至关重要。近年来，基于人工智能（AI）的预警预测模型正逐步改变传统诊疗模式。本文系统综述了利用机器学习构建的预警及预后模型在急性肝衰竭及慢加急性肝衰竭中的应用进展，相关模型在风险分层与预后预测方面展现出良好性能。随着技术的不断发展，AI有望为肝衰竭的早期干预和精准治疗提供新机遇，从而显著改善患者预后。更多还原

【Abstract】 Liver failure is a severe liver injury caused by multiple factors, leading to significant impairment or decompensation of the liver’s synthetic, detoxification, metabolic, and biotransformation functions, and it is a group of clinical syndromes with the main manifestations of jaundice, coagulation disorder, hepatorenal syndrome, hepatic encephalopathy, and ascites. Early and accurate prognostic prediction is crucial for improving the clinical outcome of patients. In recent years, artificial intelligence(AI)-based early warning and prediction models are gradually transforming the traditional diagnostic and therapeutic approaches. This article systematically reviews the advances in the application of machine learning-based early warning and prediction models in acute liver failure and acute-on-chronic liver failure, and related models have shown good performance in risk stratification and prognosis prediction. With the continuous development of related technologies, AI is expected to provide new opportunities for the early intervention and precise treatment of liver failure, thereby significantly improving the prognosis of patients.更多还原