Peter Slavin, President and Chief Executive Officer of Cedars-Sinai Medical Center and Health System shared a post on LinkedIn:
“Predicting and preventing cardiac arrest and heart attack remains one of the most urgent challenges in medicine.
At Cedars-Sinai, our teams are applying artificial intelligence to help close long-standing gaps in how risk is identified and understood.
Investigators at the Artificial Intelligence in Medicine Research Center and the Smidt Heart Institute are advancing new approaches that combine clinical data, imaging and early warning symptoms to improve risk assessment for sudden cardiac arrest and myocardial infarction.
This work includes identifying multiple biomarkers rather than relying on a single measure and using AI to extract meaningful insights from routine cardiac scans in seconds.
I am grateful to Sumeet Chugh, Damini Dey, Piotr Slomka and their colleagues for their rigor and persistence in advancing this research.
Their efforts reflect how science, technology and clinical expertise come together to move care forward and ultimately help patients before crisis occurs.”
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