AI model may soon help doctors diagnose heart attacks accurately, details here
Nowadays, artificial intelligence (AI) surpasses human intelligence. From teaching to cooking, AI has already begun to be used. In the meantime, a recent study claims that AI can provide precise information concerning heart attacks. The University of Edinburgh's Research has issued this report.
Researchers in the UK have created a new AI-based algorithm that could potentially assist clinicians in accurately and quickly reporting cardiac attacks. The new algorithm, named CoDE-ACS, was able to rule out heart attacks in more than twice as many patients with an accuracy of 99.6% when compared to conventional testing techniques, claim researchers at the University of Edinburgh.
How does CoDE-ACS helps?
CoDE-ACS can significantly assist in lowering the number of patients in hospitals and quickly determining which patients can safely return home. Professor Nicholas Mills, who oversaw the study, added that individuals who have significant chest discomfort brought on by a heart attack can recover when treated promptly and effectively.
The efficiency and quality of patient treatment in our crowded emergency departments might be greatly enhanced by using data and artificial intelligence to support clinical choices, according to Mills. The CoDE-ACS can assist doctors identify patients whose abnormal troponin (a protein released into the circulation after a heart attack) levels may indicate a heart attack rather than another ailment in addition to helping people report heart attacks.