Post by the Scribe on May 14, 2023 7:25:55 GMT
Artificial intelligence could lead to faster, more accurate heart attack diagnosis
www.yahoo.com/news/bats-could-hold-secret-to-long-life--and-other-health-news-you-may-have-missed-195603235.html
Drawing of the human heart system.
Advances in AI could relieve pressure on emergency departments. (Getty Images)
A study published on Thursday suggests that an algorithm developed using artificial intelligence (AI) could provide faster, more accurate heart attack diagnoses.
Researchers at the University of Edinburgh found that compared to current testing methods, an “algorithm called CoDE-ACS was able to rule out a heart attack in more than double the number of patients, with an accuracy of 99.6%,” the Independent reported.
The algorithm was developed using data from 10,038 patients in Scotland who presented with a suspected heart attack. Using patient information such as age, sex, medical history and troponin levels, it produced a probability score of 0 to 100 to predict whether the individual had had a heart attack.
Experts say the ability to rule out heart attacks faster could relieve pressure on emergency departments and reduce hospital admissions by singling out patients whose pain is due to a heart attack from those whose symptoms are caused by something less serious.
www.yahoo.com/news/bats-could-hold-secret-to-long-life--and-other-health-news-you-may-have-missed-195603235.html
Drawing of the human heart system.
Advances in AI could relieve pressure on emergency departments. (Getty Images)
A study published on Thursday suggests that an algorithm developed using artificial intelligence (AI) could provide faster, more accurate heart attack diagnoses.
Researchers at the University of Edinburgh found that compared to current testing methods, an “algorithm called CoDE-ACS was able to rule out a heart attack in more than double the number of patients, with an accuracy of 99.6%,” the Independent reported.
The algorithm was developed using data from 10,038 patients in Scotland who presented with a suspected heart attack. Using patient information such as age, sex, medical history and troponin levels, it produced a probability score of 0 to 100 to predict whether the individual had had a heart attack.
Experts say the ability to rule out heart attacks faster could relieve pressure on emergency departments and reduce hospital admissions by singling out patients whose pain is due to a heart attack from those whose symptoms are caused by something less serious.