Researchers and computer scientists compared the risk guidelines for heart disease and stroke from the American College of Cardiology with 4 machine-learning algorithms to analyze the risk of a patient having each. The results showed that the artificially intelligent algorithms were significantly more accurate at predicting cardiovascular disease than the regular medical models.
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