Scientists have developed an AI model capable of predicting cardiac arrhythmias


Scientists have developed an artificial intelligence model that has the ability to predict the onset of cardiac arrhythmias. This model is currently being tested by healthcare professionals in Paris hospitals. This innovation is also a sign that the field of medicine is open to such initiatives and is no longer afraid to work hand in hand with new tools of this kind. Predicting the risk of heart arrhythmias through the use of artificial intelligence may soon become standard medical care.

While the concept may still make many people raise their eyebrows and express their skepticism, largely because of the way artificial intelligence is portrayed in the media, the field of medicine is exploring how it can benefit from some of the benefits of deep learning. In their article, published in the European Heart Journal, the scientists explain how their work could be valuable in predicting the risk of developing torsades de pointes, a potentially fatal heart disease. They consider the fears surrounding AI in this regard to be “unwarranted… most of these new methodologies are just complex and elegant ways of using a rather old instrument: pattern recognition. ”

And it is within the Parisian hospital system that the model performs its first tests with scientists from IRD, INSERM and Sorbonne. So how does it work? The artificial intelligence applies a model that will analyze the signals representing the electrical activity of the heart like an ECG, then measure the duration of the wave intervals. In this model, it is the QT interval which designates the time lapse between the onset of polarization and the repolarization of the cardiac ventricles. It is by measuring the duration between the two waves that the model is able to predict certain cardiac arrhythmias.

Does the future of medicine depend on artificial intelligence?

For several years, ethical charters concerning the principles of AI for medicine have emerged. While some critics call for greater transparency and real verification modules – and rightly so – it is clear that artificial intelligence continues to evolve and contribute to new approaches in the medical field. An article in the British Medical Journal questioned whether it was useful in certain areas, with some models showing less accuracy in screening than experienced radiologists. However, there may be areas and cases where this proves useful, and scientists are cautiously hoping. For example, while 50% of Torsade de Pointes cases are asymptomatic, artificial intelligence algorithms can detect it almost every time.

In their study, the researchers explain why they are optimistic about the potential of this technique: “the possibility that the risk of life-threatening arrhythmia could be reduced by involving patients in monitoring their own risk with an easy-to-use portable device. who uses AI to detect telltale ECG changes well in time for them to call their doctor and the doctor to take action to save lives may no longer be a matter of science- fiction.”

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