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In the September 24, 2024, issue of JACC, Dr. Abdullah Yashin Yaprak and his team at Cleveland Clinic unveil a groundbreaking risk prediction model for recurrent pericarditis using machine learning. Their study, analyzing data from 365 patients, offers a novel tool to stratify patients based on their likelihood of achieving clinical remission, showcasing the promising intersection of AI and personalized medicine in cardiology.
By American College of Cardiology4.2
162162 ratings
In the September 24, 2024, issue of JACC, Dr. Abdullah Yashin Yaprak and his team at Cleveland Clinic unveil a groundbreaking risk prediction model for recurrent pericarditis using machine learning. Their study, analyzing data from 365 patients, offers a novel tool to stratify patients based on their likelihood of achieving clinical remission, showcasing the promising intersection of AI and personalized medicine in cardiology.

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