Credit: Pixabay/CC0 Public Domain Many cases of sudden cardiac death could be avoided thanks to artificial intelligence. As part of a new study published in the European Heart Journal , a network of artificial neurons imitating the human brain was developed by researchers from Inserm, Paris Cité University and the Paris public hospitals group (AP-HP), in collaboration with their colleagues in the U.S.
During the analysis of data from over 240,000 ambulatory electrocardiograms, this algorithm identified patients at risk of a serious arrhythmia that was capable of triggering cardiac arrest within the following two weeks in over 70% of cases.
Each year, sudden cardiac death is responsible for over 5 million deaths worldwide. Many of these cardiac arrests occur out of the blue with no identifiable warning signs, striking individuals from the general population who do not always have a known history of heart disease.
Artificial intelligence could help to improve the anticipation of arrhythmias—unexplained heart rhythm disorders which, if severe, can cause fatal cardiac arrest—according to a new study led by a team of researchers from Inserm, Paris Cité University and the Paris public hospitals group (AP-HP), in collaboration with their colleagues in the U.S.
As part of this study, a network of artificial neurons was developed by a team of engineers from the company Cardiologs (Philips group) in collaboration with the universities of Paris Cité and Harvard. What this algorithm does is imitate the functions of the human brain in order to improve the prevention of cardiac sudden death.
The researchers analyzed several million hours of heartbeats thanks to data from 240,000 ambulatory electrocardiograms collected in six countries (U.S., France, UK, South Africa, India and Czechia).
Thanks to artificial intelligence, the researchers were able to identify new weak signals that herald the risk of arrhythmia. They were particularly interested in the time needed to electrically stimulate and relax the heart ventricles during a complete cycle of cardiac contraction and relaxation.
"By analyzing their electrical signal for 24 hours, we realized that we could identify the subjects susceptible of developing a serious heart arrhythmia within the next two weeks. If left untreated, this type of […]
Artificial intelligence can aid in the prevention of sudden cardiac death
