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Exciting New Research from the CardSS Lab: Can AI-enhanced ECGs help predict cardiac arrest?

We are very proud to announce the publication of new research from the CardSS Lab and our collaborators on the use of artificial intelligence-enhanced electrocardiography and electronic health record data to predict out-of-hospital cardiac arrest. Congratulations to first author Dr. Surbhi Sharma and thank you to our outstanding collaborators, including co-senior authors Dr. Neal Chatterjee and Dr. Shaan Khurshid. This paper, published in JACC: Advances, tackles a major challenge in cardiovascular medicine: how can we identify people at elevated risk…