Although medicine has developed seriously today and continues to develop, it is still not possible to prevent some things. On top of these things is sudden cardiac arrest. Studies have shown that those who died today One in five people die of sudden cardiac arrest. reveals.

Many people do not know if they are at risk of sudden cardiac arrest. Here scientists Find out if you’re at risk of sudden cardiac arrest and developed a new algorithm to take action accordingly. The algorithm developed by scientists at John Hopkins University uses deep learning technology.

It can predict whether there will be a risk in 10 years and when exactly the heart may stop:

The algorithm, published as the Survival Study of Cardiac Arrhythmia Risk (SSCAR), uses neural networks to create a personalized assessment of the survival of each patient with heart disease. This algorithm, a world first, is used in risk measurement. Calculates the probability of sudden cardiac arrest in 10 years and that It also displays the most likely time of occurrence with ‘high accuracy’.

The algorithm used images of real damaged hearts in the University Hospital, where the damage distribution is shown, to train the algorithm. Images sent to the high contrast algorithm see details that are invisible to the naked eye paved the way. The algorithm makes its predictions by comparing the images it has stored in memory with the images presented to it.

The algorithm’s predictions are adjusted for each test performed. more accurate results than doctors’ predictions managed to produce In addition, tests with different heart histories and different imaging data from individual patient groups from 60 health centers in the US also gave very accurate results. The new algorithm has become one of the most important steps in the role of artificial intelligence in the health sector.