人工智能在心力衰竭预测中的应用OA
Application of artificial intelligence for prediction of heart failure
心力衰竭是全球范围内高发病率和高病死率的疾病,人工智能(AI)在心血管领域的应用越来越广泛.本文基于AI在心力衰竭预测方面的现状,总结了 AI技术与临床诊察手段方面结合的应用及其研究进展.AI通过学习超声心动图的参数评估心脏结构并对心力衰竭做出预测;AI建立的心电图模型在心力衰竭的预测中表现出极高的准确度;AI发现的新型生物标志物和遗传基因能够指导心力衰竭的预测和高风险人群筛选,还能通过对其他疾病特征的学习识别心力衰竭风险.AI技术对心力衰竭的预测具有便捷、可靠、效率高的优点,为其提供了新的可能性与挑战,并能够为临床专家的决策提供参考.
Heart failure has high incidence and mortality rates worldwide.Artificial intelligence(AI)is increasingly used in the cardiovascular field.This article summarizes progress in combining AI technology with clinical examination method for the prediction of heart failure.AI can evaluate the structure of the heart,and predict heart failure by learning parameters from echocardiography.The electrocardiogram model established by AI has high agility in predicting heart failure.New biomarkers and gene involvement discovered by AI can guide the prediction of heart failure and the screening of high-risk populations.AI can also identify the risk of heart failure by learning other disease characteristics.AI technology has the advantages of convenience,reliability,and high efficiency for the prediction of heart failure,presented new possibilities and challenges for this field and provided valuable references for the clinical decision-making of medical specialists.
王亚东;贾福运;刘思睿;张瑞;祁光伟;徐强
天津中医药大学,天津 301617天津中医药大学第二附属医院,天津 300150天津中医药大学,天津 301617天津中医药大学,天津 301617天津中医药大学,天津 301617天津中医药大学第二附属医院,天津 300150
医药卫生
心力衰竭人工智能预测
heart failureartificial intelligenceprediction
《中国比较医学杂志》 2026 (4)
108-117,10
国家自然科学基金(82374195).
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