semantic_scholarInt. J. Medical Informatics
Early diagnosis and risk stratification of aortic stenosis using artificial intelligence applied to echocardiography: scoping review
Gabriel Eduardo Malagón Tarqui, Juanita Valencia García, Erwin Hernando Hernández Rincón
TL;DR: Artificial intelligence algorithms perform well in detecting and classifying the severity of aortic stenosis, and shows high diagnostic potential in retrospective datasets, reaching metrics that emulate expert accuracy.
INTRODUCTION Aortic stenosis (AS) is the most common acquired valvular heart disease worldwide, accounting for 43% of valvular diseases. It is estimated that 40-50% of patients with severe symptomatic AS do not receive intervention, resulting in a mortality rate of over 90%. Tran…