Artificial intelligence has learned to predict sudden cardiac arrests — Nature Cardiovascular Research
Scientists from Johns Hopkins University have created an artificial intelligence system capable of predicting the likelihood of sudden cardiac arrest in patients with hypertrophic cardiomyopathy with 89% accuracy. This genetic heart disease is one of the leading causes of mortality among young people and athletes.
"Currently, many patients die because they are not protected in time, while others carry unnecessary defibrillators throughout their lives that do not benefit them," noted project leader Natalia Trayanova.
The developed model not only assesses the level of risk but also provides explanations, helping doctors develop personalized treatment plans. In the future, it is planned to adapt the development for the diagnosis and prediction of other cardiovascular diseases.