Doctors have gotten very good at determining which of their patients are at high risk for a heart attack. But new research suggests that artificial intelligence may be even better — and that widespread use of AI could save many of the lives now lost to heart disease, the leading killer in the U.S.
In preliminary tests, AI computer programs developed at the University of Nottingham in England were significantly more accurate at predicting which patients were at high risk. The programs, which employed an algorithm based on data from the medical records of more than 300,000 patients, accurately predicted 7.6 percent more heart attacks than doctors using the standard method, which involves careful consideration of patients’ age, blood pressure, cholesterol levels, and other potential risk factors.
The algorithm also prevented the accidental tagging of patients as “high-risk.” That means these patients could safely forgo the medications …
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