Artificial intelligence system accurately predicts if and when a patient will have heart failure

One new artificial intelligence system, the first of its kind, can predict – with much greater accuracy than a doctor – if and when a heart patient may die of heart failure. The technology, which analyzes images from the patient’s heart and medical and pharmaceutical history, promises to revolutionize clinical decision making and help survive sudden and fatal heart arrhythmias.

The researchers, led by Natalia Trajanova, a professor of biomedical engineering and medicine at Johns Hopkins University in Baltimore, published their findings in the journal Nature Cardiovascular Research. artificial intelligence networksin order to create an individualized assessment system for each patient with heart disease.

The new system The Survival Study of Cardiac Arrhythmia Risk (SSCAR) has an algorithm that evaluates with remarkable accuracy the probability of sudden cardiac death within the next decade, as well as when it is most likely to occur during this period.

Dr. Trajanova said that “sudden cardiac death due to arrhythmia is responsible for up to 20% of all deaths worldwide and yet we know little about why it occurs or how to distinguish who is at risk. There are patients who may have a small risk of sudden cardiac death but receive defibrillators that they may not need, while there are high-risk patients who do not receive the necessary treatment and may die at the peak of their lives. What our algorithm can do is identify who is at risk for heart death and when it will occur, allowing doctors to decide exactly what needs to be done. It is the epitome of the tendency to merge artificial intelligence, engineering and medicine into the future of care. “

Investigators –including Konstantinos Aronis of Greek origin from the same university – already working to create algorithms capable of detecting other heart diseases.

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