AI can predict time of heart failure, scientists find

Researchers from the UK's Medical Research Council (MRC) have designed a piece of Artificial Intelligence (AI) which can predict when patients with a heart disorder will die.

The software analyses blood tests and scans of beating hearts to spot signs that the organ was about to fail and can now be used to save lives by identifying patients that need more aggressive treatment.

The results, published in the journal Radiology, were part of wider research investigating patients with pulmonary hypertension.

Patients with pulmonary hypertension have high blood pressure in the lungs which progressively damages part of the heart. Data shows around a third of patients die with five years of being diagnosed.

Currently, treatments for the condition include: drugs, injections straight into the blood vessels, a lung transplant. However, doctors need to have an idea of how long patients might have left, in order to pick the right treatment.

In an interview with the BBC, Dr Declan O'Regan, one of the researchers involved in the AI project, said: "The AI really allows you to tailor the individual treatment.

"So it takes the results of dozens of different tests including imaging, to predict what's going to happen to individual patients very accurately.

"So we can tailor getting absolutely the right intensive treatment to those who will benefit the most."

Dr Mike Knapton, from the British Heart Foundation, added: "This exciting use of computer software in clinical practice will help doctors in the future to make sure that patients are receiving the correct treatment before the condition deteriorates and leaves them needing a lung-transplant.

"The next step is to test this technology in more hospitals."

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This story was first published in digitalhealth.net

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