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基于人工智能和影像组学的腹主动脉瘤研究进展 被引量:1

Progress in abdominal aortic aneurysm based on artificial intelligence and radiomics
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摘要 目的综述人工智能(artificial intelligence,AI)和影像组学在腹主动脉瘤(abdominal aortic aneurysm,AAA)研究中的进展。方法详细收集并整理近年来AI和影像组学与AAA研究相关的文献并进行综述。结果AI和影像组学从特征提取、风险预测、患者管理、模拟支架部署和数据挖掘方面影响AAA的研究及临床决策。结论应用AI和影像组学为AAA的研究和临床决策提供了新的思路,有望提出个性化的治疗及随访方案来指导临床实践,旨在实现AAA的精准医疗。 Objective To review the progress of artificial intelligence(AI)and radiomics in the study of abdominal aortic aneurysm(AAA).Method The literatures related to AI,radiomics and AAA research in recent years were collected and summarized in detail.Results AI and radiomics influenced AAA research and clinical decisions in terms of feature extraction,risk prediction,patient management,simulation of stent-graft deployment,and data mining.Conclusion The application of AI and radiomics provides new ideas for AAA research and clinical decisions,and is expected to suggest personalized treatment and follow-up protocols to guide clinical practice,aiming to achieve precision medicine of AAA.
作者 王永刚 史振宇 符伟国 WANG Yonggang;SHI Zhenyu;FU Weiguo(Department of Vascular Surgery,Zhongshan Hospital Affiliated to Fudan University,Institute of Vascular Surgery,Fudan University,National Clinical Research Center for Interventional Medicine,Shanghai 200032,P.R.China)
出处 《中国普外基础与临床杂志》 CAS 2022年第8期1090-1094,共5页 Chinese Journal of Bases and Clinics In General Surgery
基金 国家自然科学基金(项目编号:81870342)。
关键词 腹主动脉瘤 人工智能 机器学习 深度学习 影像组学 abdominal aortic aneurysm artificial intelligence machine learning deep learning radiomics
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