Dr Fornwalt added: 'That finding suggests that the model is seeing things that humans probably can't see, or at least that we just ignore and think are normal. 'AI can potentially teach us things that we've been maybe misinterpreting for decades.' Introduction of AI in such situations could see the rise of the superhuman doctor - however it is not known what rhythms the AI has detected, which makes the unexplained diagnosis a little unethical in some doctors opinions. The findings will be presented at the American Heart Association's Scientific Sessions in Dallas, U.S, on November 16 - with researchers hopeful that they will be able to prove its significance with clinical trial. AI systems rely on artificial neural networks (ANNs), which try to simulate the way the brain works in order to learn. ANNs can be trained to recognise patterns in information - including speech, text data, or visual images - and are the basis for a large number of the developments in AI over recent years. Conventional AI uses input to'teach' an algorithm about a particular subject by feeding it massive amounts of information. AI systems rely on artificial neural networks (ANNs), which try to simulate the way the brain works in order to learn.