Predictors of mortality by an artificial intelligence enhanced electrocardiogram model for cardiac amyloidosis

Predictors of mortality by an artificial intelligence enhanced electrocardiogram model for cardiac amyloidosis

Abstract Aims We aim to determine if our previously validated, diagnostic artificial intelligence (AI) electrocardiogram (ECG) model is prognostic for survival among patients with cardiac amyloidosis (CA). Methods A total of 2533 patients with CA (1834 with light chain amyloidosis (AL), 530 with wil...

Full description

Saved in:
Bibliographic Details
Main Authors: Jennifer M. Amadio, Martha Grogan, Eli Muchtar, Francisco Lopez‐Jimenez, Zachi I. Attia, Omar AbouEzzeddine, Grace Lin, Surendra Dasari, Suraj Kapa, Daniel D. Borgeson, Paul A. Friedman, Morie A. Gertz, Dennis H. Murphree Jr, Angela Dispenzieri
Format: Article
Language:English
Published: Wiley 2025-02-01
Series:ESC Heart Failure
Subjects:
Cardiac amyloidosis
Artificial intelligence
Mortality
Online Access:https://doi.org/10.1002/ehf2.15061
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doi.org/10.1002/ehf2.15061

Similar Items