by A foot scanner in home that uses artificial intelligence (AI) to recognize the warning signs of heart failure could, according to researchers, help to keep people with the condition of the hospital away.
The device, which is approximately the size of an intelligent speaker, works similarly to face recognition by taking almost 2,000 images per minute to calculate the fluid level in the feet and ankles.
This water retention, known as edema, is one of the three main warning sign that heart failure becomes serious and potentially life -threatening.
The AI scanner can trigger a warning for members of the health professions so that it can take measures, e.g.
The foot study, which is presented at the annual conference of the British Cardiovascular Society in Manchester, indicates that these warnings come 13 days before a person before a person would end up in the hospital.
It comprised 26 patients with heart failure of five NHS trusts who were recorded between 2020 and 2022.
They were monitored with the AI device and were also asked to weigh themselves with Bluetooth-enabled scales.
A seven example of heart failure was found in six patients, while death was recorded by the disease.
The researchers found that the average lead time before the hospital admission was 13 days in patients who were included in the study at least two weeks before the triggering a warning.
The lead time had an average of eight days when all five triggers picked up by the device were analyzed.
The study also showed that monitoring the scales did not predict heart failure in connection with heart failure.
The researchers suggested that patients had problems to adhere to the persecution of their weight, while the AI device did not need any measures.
Dr. Philip Keeling, senior author of the study and cardiologist at Torbay and the South Devon NHS Foundation, said: “Only about half of the people who were taken to a hospital with heart failure is currently receiving an early review of a heart failure that can be looked after whether they suffer a harmful structure of liquid because their heart does not work properly.
“In the middle of a lack of heart failure nurses, such a device can be such as a virtual nurse who pursues people’s health.”
The device based on Cambridge based on Cambridge is assembled on the wall and is usually installed on the bed of a patient.
It uses AI technology to recognize a person’s foot and lower leg and follow its position so that a camera can take 1,800 images per minute from several perspectives. These pictures show the fluid volume in the foot and in the lower leg.
