Artificial intelligence could help narrow heart attack gender gap

An algorithm developed using artificial intelligence could help doctors to diagnose heart attacks in women more accurately and quicker than ever before, according to research we fund and being presented at the European Society of Cardiology Congress in Barcelona. Previous BHF-funded research has shown that women in the UK who have a heart attack receive poorer care than men at every stage. Women were 50 per cent more likely to receive a wrong initial diagnosis, highlighting the need for innovations to help close the heart attack gender gap. Measuring the protein troponin in the blood is the current gold standard for diagnosing a heart attack. However, the levels of troponin released by the heart varies between men and women, with age and other health conditions.