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Scientists have improved heart attack diagnosis with the help of AI

The ability to quickly rule out a heart attack will help reduce the number of hospitalizations (photo: CC0 Public Domain)

An algorithm based on artificial intelligence has helped British researchers significantly improve the accuracy of diagnosing heart attacks and minimize false positives. This will make it easier for doctors to attend to patients who need emergency care.

The algorithm was tested on 10,000 patients in six countries and demonstrated accuracy in 99.6% of cases – AI showed a negative result for patients in whom there was no threat to health, regardless of gender and age, notes Bloomberg.

One of the markers of myocardial infarction is the protein troponin, which is released into the blood when heart cells die. However, in some patients, mostly women, its level during a heart attack is atypically low. It turns out that in such cases, AI can help.

An artificial intelligence algorithm known as CoDE-ACS takes into account not only the troponin level, but also specific information about the patient: age, gender, electrocardiogram results and medical history. All this increases the probability of a correct diagnosis of a heart attack.

The sharp pain that is one of the signs of a heart attack can be caused by many other conditions and diagnosis is not always an easy task, says Nicholas Mills, professor of cardiology at the University of Edinburgh, who led the study.

The involvement of AI in decision-making has enormous potential to improve the efficiency of traditionally busy emergency departments. Being able to rule out a heart attack quickly will help reduce the number of hospitalizations. Clinical trials of AI technology continue in Scotland.

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