AI better at predicting heart disease deaths than doctors: Study

Scientists have developed an artificial intelligence (AI) system that can better predict the risk of death in patients with heart disease than human experts.

In a study published in the journal PLOS One, researchers showed how the AI could revolutionise healthcare.


"It won't be long before doctors are routinely using these sorts of tools in the clinic to make better diagnoses and prognoses, which can help them decide the best ways to care for their patients," said Andrew Steele, from the Francis Crick Institute in the UK.

"Doctors already use computer-based tools to work out whether a patient is at risk of heart disease, and machine-learning will allow more accurate models to be developed for a wider range of conditions," said Steele.

The model was designed using the electronic health data of over 80,000 patients, collected as part of routine care.

Scientists, including those from the University College London in the UK, wanted to see if they could create a model for coronary artery disease -- the leading cause of death in the UK -- that outperforms experts using self-taught machine learning techniques.

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