Artificial intelligence predicts when heart will fail

Artificial intelligence predicts when heart will fail

Artificial intelligence can predict when patients with a heart disorder will die, according to scientists.

The software learned to analyse blood tests and scans of beating hearts to spot signs that the organ was about to fail.
The team, from the UK’s Medical Research Council, say the technology could save lives by finding patients that need more aggressive treatment. The results were published in the journal Radiology. The researchers, at the MRC London Institute of Medical Sciences, were investigating patients with pulmonary hypertension.High blood pressure in the lungs damages part of the heart, and about a third of patients die with five years of being diagnosed. There are treatments: drugs, injections straight into the blood vessels, a lung transplant. But doctors need to have an idea of how long patients might have left, in order to pick the right treatment.

Machine learning

The software was given MRI scans of 256 patients’ hearts, and blood test results.
It measured the movement of 30,000 different points in the organ’s structure during each a heartbeat.
When this data was combined with eight years of patient health records, the artificial intelligence learned which abnormalities predicted when patients would die. The software could look about five years into the future. It correctly predicted those who would still be alive after one year about 80% of the time. The figure for doctors is 60%. Dr Declan O’Regan, one of the researchers, told the BBC News website: “The AI really allows you to tailor the individual treatment.

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