Artificial intelligence 'predicts fatal heart attacks up to 5 years in advance'

Artificial intelligence could be used to predict those at risk of a fatal heart attack up to five years in advance, new research has found. Experts at the University of Oxford have developed a "fingerprint", or biomarker, using machine learning. When a patient is admitted to hospital with chest pain, it's standard procedure for a coronary CT angiogram (CCTA) to be performed. If no narrowing of the arteries is detected – about 75% of cases – then the patient is sent home – yet some of them suffer a heart attack in the future. There's currently no method routinely used by doctors to spot all underlying red flags of a future heart attack.