An artificial intelligence algorithm for detection of severe aortic stenosis: a clinical cohort study

Abstract Background/Introduction Despite guideline based indications, nearly 1/3 of patients with symptomatic severe aortic stenosis (AS) are not referred for intervention. Artificial Intelligence Decision-Support Algorithms (AI-DSAs) may be helpful to identify individuals with AS at risk for premature mortality but few have been validated for use. Purpose To evaluate an AI-DSA based on echocardiogram report data to augment the detection of severe AS within a well-resourced health care setting. Methods Blinded to clinical information, an AI-DSA trained to identify an aortic valve area (AVA)