AI Can Identify Patients At Risk Of Serious Arrhythmia, Prevent Sudden Death
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 2 weeks in over 70 per cent of cases
AI Can Identify Patients At Risk Of Serious Arrhythmia, Prevent Sudden Death
London: Artificial intelligence (AI) can help scientists identify patients at risk of a serious arrhythmia that is capable of triggering cardiac arrest and sudden death.
As part of a new study to be published in European Heart Journal, a network of artificial neurons imitating the human brain was developed by researchers from Inserm, Paris Cite University and the Paris public hospitals group (AP-HP), in collaboration with their colleagues in the US.
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 2 weeks in over 70 per cent of cases.
Each year, sudden cardiac death is responsible for over 5 million deaths worldwide.
AI could help to improve the anticipation of arrhythmias – unexplained heart rhythm disorders which, if severe, can cause fatal cardiac arrest – according to the new study. 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 Cite 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 analysed several million hours of heartbeats thanks to data from 240 000 ambulatory electrocardiograms collected in six countries (USA, 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 analysing their electrical signal for 24 hours, we realised that we could identify the subjects susceptible of developing a serious heart arrhythmia within the next two weeks. If left untreated, this type of arrhythmia can progress towards a fatal cardiac arrest", explained Dr Laurent Fiorina, researcher at the Paris Cardiovascular Research Centre (PARCC) (Inserm/Paris Cite University).
