Applicability of novel, class activation maps (cam) in the development of artificial intelligence-guided, single and 12-lead ecg to detect st-elevation myocardial infarction

Sameer Mehta,Francisco Fernandez,Carlos Villagran,Sebastian Niklitschek,Jorge Avila,Roberto Botelho,Alejandra Frauenfelder,Daniel Vieira,Mariana Ceschim,Sohail Merchant,Akhil Vaid,Gladys Pinto,Isabella Vallenilla,Genesis Perez Del Nogal,Lilly Prieto,Maritza Luna,Daniela Bou Daher,Lorena Pisana,Juhee Lee

JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY（2020）

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Abstract

Convolutional Neural Networks (CNN) are seamlessly integrated into many fields, including image recognition. CAM are able to recognize specific regions of images for their classification. We applied CAM and discovered discriminative segments for the detection of STEMI in an AI-guided Single-Lead and

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Key words

myocardial infarction,class activation maps,intelligence-guided,st-elevation

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