Early warning systems for natural disasters have undoubtedly saved an endless life. Other things, from other things, provide decimal watches – sometimes in days – until we take essential measures.
What if we can do the same thing for heart attacks? A group of French researchers working with some of the United States colleagues designed an artificial intelligence tool (AI) that could help do so, understanding a report in European Heart Magazine.
Early detection of heart attacks
Heart events contribute to more 5 million deaths per year. They often strike like a blue -terker – sometimes they kill people without warning signs and there is no known history of heart disease.
To search for hidden patterns that may provide victims of a possible heart attack, the researchers first investigated the heart electrical planning data from more than 240,000 patients. They mainly looked at several million hours of heart rate.
“By analyzing the electrical signal for 24 hours, we realized that we can identify the topics exposed to the development of serious heartbeat during the next two weeks,” said Laurent Fioren, author of the study and researcher at the Paris Cardiovascular Research Center (PARCC), in A, in A, in A. press release. “If you leave without treatment, this type of irregular heartbeat can advance towards a deadly heart attack.”
They investigated the data using artificial intelligence tools and identified weak signals that could precede the irregular heartbeat. Based on that information, the Amnesty International’s research team developed that can determine the risk of arrhythmias seriously to launch a heart attack. They were based on their performance on an artificial nerve network that mimics how the brain speaks to the heart.
Read more: Repair damage after a heart attack
It may save life
The tool can predict such events within two weeks in more than 70 percent of cases. The monitoring method can change how to detect and treat heart disease.
“So far, we have been trying to identify patients at risk in the medium and long term, but we were unable to predict what could happen in the minutes, hours or days before the heart attack,” said Eloi Marijon, PARCC Research Director and Study author in a press statement. “Now, thanks to artificial intelligence, we can predict these events in the very short term and may be taking action before it is too late.”
The team will continue to improve the tool, then test it in clinical trials to ensure its accuracy. If it is suffering from these tests, we will have the equivalent of sirens that tell us to ask for help to prevent a heart attack.
Read more: Why are heart attacks more frequent in December and January?
condition sources
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Before joining Discover, Paul Smaglik spent more than 20 years as a scientific journalist, specialized in American life sciences and international scientific job issues. He started his career in newspapers, but he turned into scientific journals. His work appeared in publications, including news of science, science, nature and scientific America.