The AI scanner could trigger alerts to healthcare professionals about 13 days before a patient would typically end up in hospital (Getty/iStock)
Researchers have developed an AI-powered foot scanner that uses technology similar to facial recognition to detect early signs of heart failure by measuring fluid levels in the feet and ankles.
The scanner, which captures and analyses nearly 2,000 images per minute, aims to provide early alerts of fluid retention (oedema), a critical indicator of worsening heart failure.
A study involving 26 heart failure patients showed that the AI scanner could trigger alerts to healthcare professionals about 13 days before a patient would typically end up in hospital.
The study also revealed that monitoring using Bluetooth-enabled scales was less effective, as patients struggled with consistent tracking, whereas the AI device required no action from the patient.
Dr Philip Keeling, senior author of the study, suggests the device could act as a 'virtual nurse' amid a shortage of heart failure nurses.