But Dr Louise Cullen, an emergency physician at the Royal Brisbane and Women's Hospital and one of the study's authors, said there were arbitrary cut-offs for troponin levels considered to be an indicator of a heart attack. "We see people come to hospital with heart damage and high levels of troponin, some of them are having a heart attack and some have other causes," Dr Cullen said. "There's an arbitrary cut-off point for indicating a heart attack based on a so-called normal population. "The problem is we know the older you get and whether you're male or female makes a difference on what that value should be.

But Dr Louise Cullen, an emergency physician at the Royal Brisbane and Women's Hospital and one of the study's authors, said there were arbitrary cut-offs for troponin levels considered to be an indicator of a heart attack. "We see people come to hospital with heart damage and high levels of troponin, some of them are having a heart attack and some have other causes," Dr Cullen said. "There's an arbitrary cut-off point for indicating a heart attack based on a so-called normal population. "The problem is we know the older you get and whether you're male or female makes a difference on what that value should be.

A Danish software company has developed an artificial intelligence (AI) programme that can detect heart attacks, according to a report in Bloomberg. The report said that the Corti SA's AI employs machine learning based on neural networks to analyse the words used in a panic call describing the incident, the tone of voice, and background noises. It then issues an alert about the likelihood of a heart attack. The software accurately detected cardiac arrests in 93% of cases versus 73% for human dispatchers, according to a study by the University of Copenhagen, the Danish National Institute of Public Health, and Copenhagen Emergency Medical Services. In addition, the software was able to make a decision in 48 seconds on an average, more than half a minute faster than humans.