A Wisdom That Predicts When The Heart Will ‘Stop’

Scientists from Johns Hopkins University have developed an algorithm that detects if your heart has a ‘risk of sudden stop’ and, if so, predicts exactly when it will stop. The algorithm delivered highly accurate results in all of the tests performed.

Although medicine has developed and continues to develop seriously today, it is still not possible to prevent some things. At the top of these things is sudden cardiac arrest. Studies have shown that those who died today One out of every 5 people dies from sudden cardiac arrest. reveals.

Many people are unaware of whether they are at risk of sudden cardiac arrest. Here scientists Find out if you are at risk of sudden cardiac arrest and developed a new algorithm to take action accordingly. The algorithm developed by scientists from John Hopkins University makes use of deep learning technology.

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

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

The algorithm used images of real damaged hearts at the University hospital, where the damage distribution can be seen to train the algorithm. Images submitted to the algorithm with high contrast seeing details 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 succeeded in producing In addition, tests with different cardiac histories and different imaging data of individual patient groups from 60 health centers in the USA also gave high accuracy results. The new algorithm has become one of the most important steps in the role of artificial intelligence in the health sector.

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