UZH Explores the Use of AI in Preventing Heart Attacks

(CONNECT) An international group of researchers led by the University of Zurich has investigated the use of AI in analyzing the risk of the most common form of heart attack. The researchers used artificial intelligence to re-evaluate the clinical trial data from over 600,000 patients in the VERDICT study. The results showed that KI can estimate the risk of so-called acute coronary syndrome without ST elevation more precisely than the previous method of the GRACE score, writes UZH in a press release.

The researchers trained their AI model to identify patients for whom early cardiac catheter treatment might be appropriate. "By re-analyzing the clinical trial data, our GRACE 3.0 model has learned who actually benefits from early invasive treatment - and who does not," first study author Florian A. Wenzl is quoted as saying in the press release. "This could help to improve the care of these patients in the future, as well as cardiovascular health after a heart attack." The scientist at the Center for Molecular Cardiology at UZH also conducts research at the National Health Service in England.

The researchers see their findings as an indication that current treatment strategies are sometimes aimed at the wrong patients. They consider a comprehensive restatification of care to be appropriate. Your GRACE 3.0 score is designed to help with more individualized and effective care. ce/hs