AI forecasts bleeding risk in heart muscle
A system built on explainable artificial intelligence technology has been developed through a collaboration between Abesit University in New York and a team of researchers, with the goal of predicting the occurrence of bleeding within the heart muscle after a severe heart attack, especially in patients with ST-elevation myocardial infarction (STEMI). Intra-myocardial bleeding is considered a serious complication that threatens patients’ lives, affecting about 40% of STEMI patients and increasing the risks of heart failure and death. The new system is used during angiographic procedures to provide doctors with accurate information that helps them assess risks immediately, thereby improving treatment decisions and post-intervention monitoring. This innovative technology is an important tool for enhancing the management of heart attack cases and reducing complications related to internal bleeding.
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