An explainable AI system enables accurate, flow-aware grading of mitral and tricuspid regurgitation in routine echocardiography.

Mitral regurgitation and tricuspid regurgitation frequently coexist and are evaluated using overlapping echocardiographic views. Although artificial intelligence–based approaches have shown promise, current existing models lack explainability and physiologic constraints, limiting their reliability and adoption in real‐world echocardiographic workflows.