AI model analyzing ECGs, health records can identify people at risk for cardiac arrest

Use of AI-enhanced ECGs and electronic health records enabled researchers to distinguish people at high risk for out-of-hospital cardiac arrest, according to data published in JACC: Advances. “There to date remains no established, validated approach for cardiac arrest screening in the general population,” Neal Chatterjee, MD, MSc, associate professor of medicine at the University of

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