Key result
AI model predicts VF from Brugada ECGs with ~94% negative predictive value.
Why the study?
Brugada syndrome can cause sudden cardiac death (SCD), but not all patients with a Brugada ECG develop SCD. The authors examined whether an AI model can predict a previous or future ventricular fibrillation episode from a Brugada ECG.
Does an artificial intelligence model applied to 12-lead ECGs predict previous or future ventricular fibrillation episodes in patients with suspected Brugada syndrome?
Observational
Does an artificial intelligence model applied to 12-lead ECGs predict previous or future ventricular fibrillation episodes in patients with suspected Brugada syndrome?
An AI-enabled algorithm using a convolutional neural network can predict the presence of ventricular fibrillation from a Brugada ECG with high negative predictive value, potentially aiding in risk stratification for sudden cardiac death.
May aid Brugada VF risk stratification; hypothesis-generating and requires prospective validation before practice change.
BACKGROUND: Brugada syndrome is a potential cause of sudden cardiac death (SCD) and is characterized by a distinct ECG, but not all patients with A Brugada ECG develop SCD. In this study we sought to examine if an artificial intelligence (AI) model can predict a previous or future ventricular fibrillation (VF) episode from a Brugada ECG. METHODS AND RESULTS: score of 0.81±0.11. The negative predictive value was 0.94±0.11 while its positive predictive value was 0.44±0.29. CONCLUSIONS: This proof-of-concept study showed that an AI-enabled algorithm can predict the presence of VF with a substantial performance. It implies that the AI model may detect a subtle ECG change that is undetectable by humans.
No takes yet. Share an insight, caveat, or question.
Nakamura et al. (2022) conducted an observational in Brugada syndrome. Artificial intelligence (AI) model was evaluated on Prediction of a previous or future ventricular fibrillation (VF) episode. An artificial intelligence model predicted previous or future ventricular fibrillation episodes from Brugada ECGs with a negative predictive value of 0.94±0.11 and a positive predictive value of 0.44±0.29.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: