According to the news of the British Daily Mail newspaper, researchers have developed an algorithm that can reduce the pressure on the emergency room. The study shows that, compared to existing testing methods, this algorithm was able to rule out (exclude) heart attacks in a greater number of patients with 99.6% accuracy.
CAN GREATLY REDUCE, QUICKLY DETERMINATE!
The team, from the University of Edinburgh, stated that the ability to quickly rule out, rule out, and rule out a heart attack can greatly reduce hospital admissions and quickly identify patients who can be safely sent home.
The current gold standard for heart attack diagnosis involves measuring blood troponin protein levels. However, the same threshold value is used for each patient. This raises the argument that factors such as age, gender and other health problems that affect troponin levels are not taken into account. This is said to affect the accuracy of heart attack diagnoses.
Previous research has shown that women are 50 percent more likely to receive a false initial diagnosis, and patients who are misdiagnosed have a 70 percent higher risk of dying after 30 days.
“HIGH POTENTIAL”
The team said that their new algorithm, which they call CoDE-ACS, is an opportunity to prevent this.
According to the information conveyed, the new algorithm was developed using data obtained from 10,038 patients admitted to the hospital with suspected heart attack in Scotland.
Professor Nicholas Mills, who led the study, said: “Early detection and treatment saves lives for patients suffering from acute chest pain due to a heart attack. Unfortunately, many conditions cause these common symptoms and diagnosis is not always easy. Leveraging data and artificial intelligence to support clinical decisions. “has great potential to improve patient care and efficiency in our busy emergency departments.” said.
Professor Sir Nilesh Samani, Medical Director of the British Heart Foundation, which funded the research, said: “It could shorten the time needed to make a diagnosis and be much better for patients.” he said.
Clinical trials are currently underway in Scotland to assess whether the AI tool can help doctors reduce the pressure on overcrowded emergency rooms.
The findings were published in the journal Nature Medicine.