AI measures patient blood flow to predict heart health

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Hospitals in London have used artificial intelligence to instantly and accurately measure patient blood flow, an advance that allows doctors to predict chances of death, heart attack and stroke.

patient blood flow

The results of the study, led by UCL and Barts Health NHS Trust, can be used by doctors to help recommend treatments which could improve a patient's blood flow, which is a common symptom of many heart conditions. Treatments follow international guidelines for assessing the measure a patient's blood flow, which can be invasive and risky.

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According to UCL, non-invasive blood flow assessments are available, including Cardiovascular Magnetic Resonance (CMR) imaging, but up until now, the scan images have been very difficult to analyse precisely enough to deliver a prognosis or recommend treatment.

In what is claimed to be the largest study of its kind, funded by British Heart Foundation and published in Circulation, researchers took CMR scans from over 1,000 patients attending St Bartholomew's Hospital and the Royal Free Hospital and used a new artificial intelligence technique to analyse the images. The teams were then able to quantify the blood flow to the heart muscle and deliver the measurements to the medical teams.

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