The automated AI framework demonstrated strong rule-out capability and robust performance for screening mitral and tricuspid regurgitation in routine clinical practice.
Does an explainable artificial intelligence framework enable accurate screening and automated triage of mitral and tricuspid regurgitation in echocardiographic studies?
An explainable AI framework can accurately screen for mitral and tricuspid regurgitation, supporting automated triage of echocardiograms in clinical practice.
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This explainable, unified artificial intelligence framework enables accurate and efficient screening of mitral regurgitation and tricuspid regurgitation in routine practice. By maintaining strong rule-out capability and robust external performance, the proposed system supports automated triage and prioritization of echocardiographic studies in both specialist and noncardiology settings.
Lin et al. (Tue,) reported a other. The automated AI framework demonstrated strong rule-out capability and robust performance for screening mitral and tricuspid regurgitation in routine clinical practice.