Why the study?
Severe low-gradient aortic stenosis is the most challenging subtype to differentiate from moderate aortic stenosis during manual echocardiography examination.
Does an artificial intelligence-based echocardiography model accurately diagnose severe low-gradient aortic stenosis compared to moderate aortic stenosis?
Does an artificial intelligence-based echocardiography model accurately diagnose severe low-gradient aortic stenosis compared to moderate aortic stenosis?
An AI-based model utilizing echocardiographic parameters can effectively differentiate between severe low-gradient and moderate aortic stenosis, potentially reducing the need for additional complex diagnostic procedures.
May aid echocardiographic differentiation of low-gradient AS; leaves open prospective validation before clinical use.
Diagnosis of aortic valve stenosis (AS) is performed manually by a physician experienced in echocardiography imaging. A specific subtype of AS, a severe low-gradient AS, is the most challenging one in terms of differentiating it from the moderate AS. In this study, an artificial intelligence (AI)-based model was used to diagnose the severe low-gradient AS in a fully automatic manner. Data from 158 consecutive patients undergoing echocardiography examination to assess AS severity were used. The obtained performance of our fully automatic approach was AUC = 0.719, 95% confidence interval, 0.640-0.798. It is an important step towards a comprehensive and automatic, image-only-based clinical decision support system for determining the presence of AS and its severity, especially in AS subtypes, such as low-gradient AS.
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Wrzosek et al. (2025) studied this question.
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