An artificial intelligence system has proven it can save lives by warning physicians to check on patients whose heart test results indicate a high risk of dying. In a randomised clinical trial with almost 16,000 patients at two hospitals, the AI reduced overall deaths among high-risk patients by 31 per cent.
“This is actually quite extraordinary,” says Eric Topol at the Scripps Research Translational Institute in California, who was not involved in the research. “It’s very rare for any medication to [produce] a 31 per cent reduction in mortality, and then even more rare for a non-drug – this is just monitoring people with AI.”
AI trained on millions of life stories can predict risk of early death
Chin Lin at the National Defense Medical Center in Taiwan and his colleagues first trained their AI on more than 450,000 electrocardiogram (ECG) tests, which measure the heart’s electrical activity, along with the survival data of the ECG subjects. The AI learned to produce a percentile score representing each patient’s risk of death, with those in at least the 95th percentile considered high risk.
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