Home > Cardiology > EHRA 2022 > Diagnostics and Prevention > AI model accurately predicts sudden cardiac death in overall population

AI model accurately predicts sudden cardiac death in overall population

Presented By
Prof. Xavier Jouven, Georges-Pompidou European Hospital, France
Presented by
Xavier Jouven Georges-Pompidou European Hospital
Conference
EHRA 2022
Doi
https://doi.org/10.55788/466ac1c2
A novel prediction model for sudden cardiac death was able to calculate the risk for sudden cardiac death with high accuracy. The model, based on artificial intelligence (AI), included both cardiac risk factors and non-cardiac risk factors. A subsequent study will aim to enhance the prediction of sudden cardiac death by identifying relevant clinical subgroups. Prof. Xavier Jouven (Georges-Pompidou European Hospital, France) and co-authors aimed to develop a sudden cardiac death prediction with a particular focus on the low-risk general population since they comprise the highest absolute number of sudden cardiac death and are more difficult to capture than patients with known high-risk factors, such as previous myocardial infarctions [1]. The study group included 12,784 cases of sudden cardiac death from the Paris Sudden Death Expertise Center and 10,000 matched controls. Using AI, an individualised 1-year predicted risk score for sudden cardiac death was c...


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