摘要
Abstract
Structural heart disease(SHD)is a kind of heart disease caused by abnormal heart structure.With the ag-ing of society and the change of life style,the incidence of SHD is increasing year by year.Traditional diagnosis and treat-ment methods rely on imaging examination and clinical experience,and there are deficiencies in diagnostic accuracy and low degree of personalized treatment.In recent years,the rapid development of artificial intelligence(AI)-assisted technol-ogy has brought revolutionary breakthroughs for the diagnosis and treatment of SHD.AI-assisted technologies are based on core technologies such as machine learning(ML),deep learning(DL),and computer vision to efficiently process and ana-lyze complex medical data.In the field of SHD,AI is gradually changing the traditional diagnosis and treatment model.In terms of diagnosis,AI performs automated analysis of echocardiograms through the DL algorithm,significantly improving diagnostic efficiency and accuracy.Through in-depth analysis of echocardiogram data,AI can find subtle lesions that may be overlooked by traditional diagnostic methods,predict the development of the disease in advance,and provide more ac-curate decision support for clinicians.The diagnostic accuracy of AI-assisted auscultation equipment has been comparable to that of senior cardiologists,but it has yet to be tested in clinical application with a large sample size.In addition,AI electrocardiogram has also shown great application value in the diagnosis of SHD and the prediction of high-risk groups.In terms of treatment,AI provides strong support for the development of personalized treatment plans;based on the patients'imaging data,clinical history and genomic information,AI can predict the effects of different treatment options and recom-mend the best treatment strategy;Ai-assisted real-time surgical navigation system can provide doctors with accurate opera-tional guidance and further improve the success rate of surgery.In terms of prognosis assessment,AI can accurately evalu-ate the postoperative recovery and long-term prognosis of patients by building a risk prediction model.For example,ML-based algorithms can analyze patients'clinical data,predict the risk of postoperative complications,and provide a basis for the development of personalized rehabilitation programs.Although the application of AI in the diagnosis and treatment of SHD is still in the exploratory stage,the potential it shows can not be ignored.In the future,with the continuous maturity of technology and the accumulation of clinical data,AI is expected to play a greater role in the accurate diagnosis,person-alized treatment and prognostic management of SHD,and promote the comprehensive innovation of cardiovascular disease diagnosis and treatment mode.关键词
人工智能技术/机器学习/深度学习/结构性心脏病/心脏疾病Key words
artificial intelligence-assisted technology/machine learning/deep learning/structural heart disease/heart disease分类
医药卫生
