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AI foot scanner predicts heart failure admissions nearly two weeks in advance

Demonstrated at the British Cardiovascular Society conference, the device uses AI image analysis to spot fluid build-up in patients’ feet before severe symptoms emerge.

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Overview

  • The Foot Study monitored 26 heart failure patients across five NHS trusts from 2020 to 2022 using the AI scanner alongside Bluetooth-enabled scales.
  • The wall-mounted device captures almost 2,000 images per minute to measure fluid retention in feet and ankles and calculate oedema levels automatically.
  • Alerts from the scanner arrived on average 13 days before hospital admission, while weight scales failed to predict any heart failure–related admissions due to inconsistent patient use.
  • Eighteen of the 22 surviving participants chose to keep the AI device after the trial, highlighting high patient acceptance and ease of use.
  • Professor Bryan Williams of the British Heart Foundation said that earlier alerts could transform care by enabling timely treatment adjustments.