AI eye-scanner can tell whether you'll croak it from a heart attack
A team of academics led by St George's, University of London have conducted what they believe is the largest AIyet. Retinal scans from over 70,000 people across two biomedical datasets, the UK Biobank and the European Prospective Investigation into Cancer in Norfolk, were used to train and test QUARTZ – QUantitative Analysis of Retinal vessels Topology and siZe – an AI-based system using supervised learning.
By studying images of eyeballs and the medical histories of each participant, QUARTZ learns how common visual features in retina scans correlate to coronary heart disease, heart attacks, myocardial infarction, and strokes. The system can thus predict, from a given retina photo, whether someone is at risk of dying from heart disease over the next five years.
QUARTZ's performance was compared to the Framingham Risk Score , an algorithm used to predict the chances of a person developing cardiovascular disease within the next ten years. QUARTZ's predictions were generally as accurate or better than FRS, according to the study's results, which were published in the British Journal of Ophthalmology.
The researchers believe AI retinal scans could be used in clinical settings to assess a patient's cardiovascular health without the need to take blood pressure measurements or blood tests one day. "Retinal imaging is established within clinic and hospital eye care and in optometric practices in the US and UK," they wrote in the paper."AI-enabled vasculometry risk prediction is fully automated, low cost, non- invasive and has the potential for reaching a higher proportion of the population in the community because of 'high street' availability and because blood sampling or sphygmomanometry are not needed.
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