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Tracking the pre-clinical progression of transthyretin amyloid cardiomyopathy using artificial intelligence-enabled electrocardiography and echocardiography.

Evangelos K OikonomouVeer SanghaSumukh Vasisht ShankarAndreas CoppiHarlan M KrumholzKhurram NasirRobert J H MillerCesia Gallegos-KattanSadeer Al-KindiRohan Khera
Published in: medRxiv : the preprint server for health sciences (2024)
AI applied directly to echocardiography and ECG images may define a scalable paradigm in the monitoring of pre-clinical ATTR-CM progression and identify candidates who may benefit from initiation of disease-modifying therapies.
Keyphrases
  • artificial intelligence
  • deep learning
  • machine learning
  • big data
  • left ventricular
  • computed tomography
  • pulmonary hypertension
  • heart rate variability
  • blood pressure