At-home ‘foot-recognition’ AI scanner can prevent heart failure hospitalisations

A home device which scans someone’s feet as soon as they get out of bed in the morning could keep people with heart failure out of hospital, according to research presented at the British Cardiovascular Society conference in Manchester.

More than a million people in the UK have heart failure which, when not fully controlled by medication or lifestyle factors, can lead them to be hospitalised.

Now an AI device with ‘foot recognition’, similar to face-recognition technology, could potentially flag when heart failure is becoming severe and life-threatening – delivering an alert 13 days before a person would end up in hospital, according to new research supported by the National Institute for Health and Care Research (NIHR).

Dr Philip Keeling, senior author of the study and a consultant cardiologist at Torbay and South Devon NHS Foundation Trust, said: “This device detects one of the big three warning signs for people with heart failure before they end up in hospital.

“Only about half of people admitted to hospital with heart failure currently get assigned an early review by a heart failure nurse who can check to see if they are suffering a harmful build-up of fluid because their heart is not working properly.

“Amid a shortage of heart failure nurses, a device like this can be like a virtual nurse, tracking people’s health.

The Heartfelt Device process chart showing 5 stages: patient detection; patient tracking with AI; image capture; foot volume calculation; and the alert and action stage

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