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Predictive Value of Artificial Intelligence-Enabled Electrocardiography in Patients With Takotsubo Cardiomyopathy.

Yoshihisa KanajiIlke ÖzcanDavid N TryonAli AhmadJaskanwal Deep Singh SaraBradley R LewisM P H Paul A FriedmanPeter A NoseworthyLilach Orly LermanTsunekazu KakutaItzhak Zachi AttiaAmir Lerman
Published in: Journal of the American Heart Association (2024)
The combined use of AI-ECG algorithms derived from a single 12-lead ECG might detect subtle underlying patterns associated with worse outcomes in patients with TC. This approach might be beneficial for stratifying high-risk patients with TC.
Keyphrases
  • artificial intelligence
  • machine learning
  • deep learning
  • heart rate variability
  • big data
  • heart rate
  • heart failure
  • blood pressure
  • adipose tissue
  • atrial fibrillation