Artificial intelligence neural network approach detected heart failure from a si

Another wave of enthusiasm hit the media in recent weeks unfolding the endless opportunities for artificial intelligence (AI) in service for medicine. This time the "new AI neural network approach detected heart failure from a single heartbeat with 100% diagnostic accuracy" – an energetic and simple message - was shared and reshared across social media and beyond. Lay readers fueled the rolling snowball with comments and views suggesting that Goliath of medicine has been successfully defeated by magic capabilities of AI. But, are we really done with heart failure? The paper, which gave grounds for these discussions was published online in the Biomedical Signal Processing and Control by Mihaela Porumb et al (1).The authors have implemented in a very elegant manner a new approach for analysis of electrocardiogram (ECG) using the hierarchical neural networks that mimic the human visual system called Convolutional Neural Network (CNN or ConvNets) (2). This method being a class of deep neural networks, allows for image recognition and classification, is used for object or face recognition.