A machine-learning technology has surpassed human capabilities when it comes to predicting the chances of death or heart attacks, according to research presented today at the International Conference on Nuclear Cardiology and Cardiac in Lisbon, Portugal.
"These advances are far beyond what has been done in medicine, where we need to be cautious about how we evaluate risk and outcomes,” Luis Eduardo Juarez-Orozco, an author of the research from the Turku PET Centre, Finland, said in a statement. “We have the data but we are not using it to its full potential yet."
Nine-hundred-and-fifty patients with chest pain took part in the study, and the researchers collected data from them on several measures which they inputted into the ML technology. This included information taken from CT scans about coronary health, medical records, sex, age, smoking status, and other variables.
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