Heart Rhythm: AI predicts AFib | How the iPhone 12 can put patients at risk | FDA announces an urgent recall

The team's deep neural network was trained on more than 1.6 million 12-lead ECGs. 

"We were all stunned," one cardiologist said after discovering the problem.

The authors assessed 17 popular energy drinks, sharing their analysis in Food and Chemical Toxicology. 

According to a new study published in Circulation, ablation was associated with numerous benefits over standard drug therapy.

The AI filter used in the study included two separate convolutional neural networks trained on more than one million ECGs.

The new analysis, published in the European Journal of Preventive Cardiology, confirmed that atrial fibrillation can be prevented. 

The FDA categorized this as a Class I recall, which means it is an especially serious issue that can result in injury or death.  

Sudden cardiac arrest, both in and outside of the hospital, is much more fatal for patients who already have COVID-19. 

The system sends real-time feedback to healthcare providers during the treatment process. 

The meta-analysis included data from 23 different studies.