Efficient screening for severe aortic valve stenosis using understandable artificial intelligence: a prospective diagnostic accuracy study.

Hisaki MakimotoTakeru ShiragaBenita KohlmannChristofori Eleni MagnisaliShqipe GerguriNobuaki MotoyamaLukas ClasenAlexandru BejinariuKathrin KleinAsuka MakimotoChristian JungRalf WestenfeldTobias Zeus Malte Kelm

Published in: European heart journal. Digital health (2022)

Our CNN model combining multiple auscultation locations and exported on smartphone application could efficiently identify severe AS based on heart sounds. The visual explanation of AI decisions for heart sounds was interpretable. These technologies may support medical training and remote consultations.

Keyphrases

artificial intelligence
aortic valve
machine learning
big data
transcatheter aortic valve replacement
deep learning
transcatheter aortic valve implantation
aortic valve replacement
heart failure
aortic stenosis
early onset
healthcare
atrial fibrillation
primary care
coronary artery disease