AI Echocardiography for Aortic Stenosis: Promise Meets Practice Gaps

Automated image interpretation by convolutional neural networks hits soaring AUCs in study cohorts, but the review finds performance and methods often too variable, with key steps like external validation and workflow integration missing. High mortality among those undiagnosed makes this tempting, but no system is yet plug-and-play for actual clinics. For now, this remains wishful thinking more than routine help for older patients.