人工智能在心电图自动分析中的应用及进展
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Application and progress of artificial intelligence in automated electrocardiogram analysis YU Rongbol，GUO Xuan¹，LI Faxuel，WU Qiang1，2 （1.SchoolofClinical Medicine，Second HospitalofLanzhou University，Lanzhou 73030，China；2.Departmentof Cardiology，Second HospitalofLanzhouUniversity，Lanzhou73oo30，China） Corresponding author： WU Qiang， E-mail： lzu2h_wq@126.com
【Abstract】As a core non-invasive tool for diagnosing cardiovascular diseases，traditional manual electrocardiogram （ECG）analysissufers fromlimitationssuchaslowdiagnosticconsistency，dificulty inadapting ECG morpholgforspecific populations，highratesofmised diagnosesofdynamicarhythmiasanddelayedresponses toacuteevents，etc.Articial intellgence-enabledECG（AI-ECG）analysis is driving profoundtransformation inthediagnosisandtreatmentofcardiovascular diseases.Inthis article，the technological evolutionofAI-ECGfrom traditionalmachine leaming anddeep leaming to generative AI/largelanguage odelsandsenaispecificmodels，aswellasitsalations inahias，stucturalartdiseasecute coronary syndrome，cardiacrehabilitation，and wearable monitoring，etc.AI-ECGhas achievedbreakthroughs from‘static diagnosis”to“dynamicearly warning”andfrom“single-diseasescreening”to“ful-cycle management".However，Al-CG til faceschalengesicdinginsuicentiterpreabilitylackofdataandevaationstandadationmodelbasandtaclesin clinical tanslationSubsequntlyultimodalintegration，ustomizedmodelsfospecialppulations，standardzationofdamic ECGs，andinterdisciplinarycolaborationareneded toadvanceAI-ECG towardtheevolutionof intelligentagentswith autonomousdecision-makingcapablitieschievingthetransitionfrom‘techicalfeasibility”to“patientbenefit”，oferinganew idea for precise diagnosis and treatment of cardiovascular diseases.
【Key words】 Artificial intelligence;Electrocardiogram;Deep learning;Cardiovasculardiseases; Intelligentdiagnosis
心电图（electrocardiography，ECG）自问世以来，凭借操作简便、无创、成本低廉等优势，成为心血管疾病筛查、诊断及预后评估的重要工具，可实时记录心脏电活动，为心律失常、心肌缺血、结构性心脏病及非心脏疾病提供关键诊断依据，广泛应用于急诊胸痛鉴别、住院患者监测、社区慢性病筛查、心脏康复随访等场景［1-4] 。（剩余27738字）