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Cardio 🫀
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Using AI to predict sudden cardiac arrest
In today's post, we're taking a brief dive into the advance in AI and how it is revolutionising the field of cardiology.
A new AI breakthrough can predict sudden cardiac arrest (SCA) up to two weeks in advanced. Developed by research from Inserm, Paris Cite University and partners, the AI analyses ECG data to detect early warning signs of dangerous heart rhythms. In tests with over 240,000 electrocardiogram data recorded (using ambulatory ECGs - continuous heart rhythm recordings taken while people go about their daily lives) from six countries, it identified subtle patterns that might predict sudden cardiac arrest and accurately identified risks in more than 70% of cases!
This technology could soon be integrated into wearable devices like smartwatches, offering live-saving warnings
However, more clinical trials are needed before this widespread use, but this exciting discovery has brought us one step closer to transforming heart disease prevention.
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