人工智能在高血压诊治中的应用  

Application of artificial intelligence in diagnosis and treatment of hypertension

作　　者：王立娜 雷警输 谭琛 WANG Lina;LEI Jingshu;TAN Chen(Heart Center,Hebei Yanda Hospital,Langfang Hebei 065201,China)

机构地区：[1]河北燕达医院心脏中心,河北廊坊065201

出　　处：《实用心电学杂志》2022年第6期386-391,共6页Journal of Practical Electrocardiology

基　　金：河北省医学科学研究课题计划项目(20220967)。

摘　　要：人工智能和机器学习开拓了高血压诊治的新路径和新模式。本文围绕人工智能在高血压预测、评估和辅助治疗决策等方面的应用进展进行综述。在高血压预测方面,人工智能可在传统高血压危险因素的基础上,联合影像学、基因组学等多因素构建高血压风险预测模型,提高高血压的早期诊断率。通过利用人工智能专家系统识别高血压的复杂病因,可弥补临床医生诊断的局限性。在高血压评估方面,人工智能构建的高血压并发症预测模型可对心脏、脑血管等并发症进行预测,筛选出高危人群进行早期干预。在高血压治疗方面,临床决策模型、药物因素分析模型、监测预警系统和人机交互等应用,可提高高血压治疗的精准性、及时性和患者依从性,并辅助临床医生做出最优治疗决策。人工智能在高血压诊治领域的探索,建立了高血压慢病管理的新模式。The application of artificial intelligence(AI)and machine learning develops new pathways and new modalities for the diagnosis and treatment of hypertension.This paper reviews the progress of AI applied in aspects of hypertension prediction,assessment,and assistance for treatment decision-making.In terms of hypertension prediction,AI could build hypertension risk prediction models based on traditional hypertension risk factors combined with imaging,genomics and other factors,which improves the early diagnosis rate of hypertension.The AI expert system identifies complex etiology of hypertension,which makes up for the limitations of clinicians in diagnosis.In terms of hypertension assessment,the prediction model of hypertension complication constructed by AI could predict complications in the heart and the brain blood vessel,and screen out high-risk population for early intervention.In terms of hypertension treatment,the application of clinical decision-making model,drug factor analysis model,monitoring and early warning system,human-computer interaction,etc.could improve the accuracy,timeliness and patient compliance of hypertension treatment,and assist clinicians in making optimal treatment decisions.The exploration of AI in the field of hypertension diagnosis and treatment has established a new model for the chronic disease management of hypertension.

关 键 词：人工智能 机器学习 高血压 慢病管理 预测模型 精准治疗 

分 类 号：R541.75[医药卫生—心血管疾病]