重度主动脉瓣狭窄合并心力衰竭的多模态影像人工智能研究进展

打开文本图片集

中图分类号R541.61;R542.52 文献标识码A 文章编号 2097-7964（2026）03-166-05

【Abstract】Severe aortic stenosis combined with heart failure isa high-risk clinical disease.Itspathophysiological mechanism is complex.Early identificationof myocardial fibrosisand hemodynamic abnormalities is crucialforoptimizing treatment strategies.Transcatheterorsurgicalaorticvalvereplacementisanefective treatment methodfor thiscondition. The integration of multimodal imaging techniques （such as echocardiography，cardiac CT，and cardiac magnetic resonance） andartificial intelligence （AI） hassignificantlyoptimizedthediagnosticandriskassssment processs.Byexplorngthe integratedapplicationofmultimodalimagingparameters （quantitativemyocardialfbrosis，hemodynamicasessmentandAI riskpredictionmodels，itisexpected toguidethedeterminationofsurgical timing，theselectionofsurgicalmethods，ndthe predictionofpostoperative cardiac functionrecovery，thereby improving the accuracyof individualizedtreatment.

【Keywords】 Severeaortic stenosis;Heart failure;Artificial intelligence

重度主动脉瓣狭窄（aorticstenosis，AS）合并心力衰竭（heartfailure，HF）是老年人群中的危重疾病，患者出现HF症状后若不进行干预，生存期通常不足3年且生活质量严重下降[。（剩余13138字）