Edinburgh: Artificial intelligence could revolutionize the emergency department by improving the diagnosis of heart attacks to reduce pressure, a new study suggests.
A study conducted at the University of Edinburgh has revealed that doctors will soon be able to diagnose heart attacks faster and more accurately than ever before with the help of algorithms created using artificial intelligence.
Scientists say that with the help of this algorithm, it will also help to deal with the dangerous problems faced in the diagnosis of this condition.
Comparing the algorithm, called CoDE-ACS, to existing testing methods, the researchers found that the algorithm ruled out heart attacks in double the number of patients with 99.6 percent accuracy.
According to experts, the ability to rule out possible heart attacks faster than ever before could greatly reduce the readmission burden on hospitals.
Nicholas Mills, professor of cardiology at the University of Edinburgh, who led the research, said that prompt diagnosis and treatment in patients with severe chest pain due to a heart attack could save lives.
“Unfortunately, many conditions present these common symptoms and the diagnosis is not always straightforward,” he said. Combining data and artificial intelligence to make informed decisions has great potential for improving patient outcomes and making busy emergency departments more efficient.
Clinical trials of the algorithm are underway in Scotland to assess whether the device can help clinicians reduce emergency department workloads.
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