Clinical Application and Progress of Artificial Intelligence in Mitral Regurgitation
YANG Dahai
MA Yanyan
MAO Yu
LIU Yang
YANG Jian
Abstract：Mitral valve disease is a common heart valve disease,with mitral regurgitation(MR)being the most prevalent.Its incidence continues to rise amid an aging population.Traditional surgical interventions are associated with significant trauma and high risk,limiting their applicability in elderly patients or those with comorbidities.In recent years,Transcatheter mitral valve intervention(TAVI)have advanced rapidly,emerging as a critical treatment strategy.However,due to the complex patho-logical mechanisms of MR,precise diagnosis and prognostic evaluation are essential for formulating surgical plans.Breakthrough in artificial intelligence(AI)technology have revolutionized the diagnosis and management of MR.This article systematically re-views the latest applications of AI in MR Diagnosis,prognosis assessment and treatment of MR,and discusses future directions,providing insights for clinical practice and technological innovation.
Keywords：mitral regurgitationartificial intelligencemachine learningdeep learningmultimodal imageing
Publication Date：2025-12-28
Online Publishing Date：2026-01-16(First online date of this platform, not the publication date of the document)
Pages：5( 552-556 )