Artificial Intelligence–Enhanced Electrocardiogram for the Early Detection of Cardiac Amyloidosis

Volume: 96, Issue: 11, Pages: 2768 - 2778
Published: Nov 1, 2021
Abstract
Objective To develop an artificial intelligence (AI)–based tool to detect cardiac amyloidosis (CA) from a standard 12-lead electrocardiogram (ECG). Methods We collected 12-lead ECG data from 2541 patients with light chain or transthyretin CA seen at Mayo Clinic between 2000 and 2019. Cases were nearest neighbor matched for age and sex, with 2454 controls. A subset of 2997 (60%) cases and controls were used to train a deep neural network to...
Paper Details
Title
Artificial Intelligence–Enhanced Electrocardiogram for the Early Detection of Cardiac Amyloidosis
Published Date
Nov 1, 2021
Volume
96
Issue
11
Pages
2768 - 2778
Citation AnalysisPro
  • Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
  • Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.