人工智能在超声心动图中的临床应用OA

With the rapid development of artificial intelligence(AI)technology,its application in the field of medicine has expanded in both depth and breadth,resulting in significant changes in clinical practice.As the preferred imaging modality for the diagnosis of cardio-vascular diseases,echocardiography provides the advantages of rapidity,accuracy,real-time imaging,and noninvasiveness.However,the traditional manual analysis paradigm is limited by cumbersome operation,notable time consumption,and poor interobserver agreement.The deep integration of AI technology and echocardiography is expected to overcome these bottlenecks and advance echocardiographic diagnosis toward automation and intelligence.This review systematically addresses the current status of the clinical application of AI in the field of echocardiography,covering multiple research directions,including automatic chamber segmentation and volume quantification,myocardial strain analysis,automatic analysis of valvular heart disease,auxiliary diagnosis and prognosis prediction models,and image acquisition guidance.We elaborate on the relevant technical principles,clinical application efficacy,and validation results for accuracy.In addition,this review discusses the existing limitations and future directions for the development of AI applications in echocardiography,offering a reference for both research and clinical implementation.