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Engels

AI stethoscope could detect major heart conditions in seconds

GREAT BRITAIN - Stethoscopes powered by artificial intelligence (AI) could help detect three different heart conditions in seconds, researchers say.

Times of Suriname

The original stethoscope, invented in 1816, allows doctors to listen to the internal sounds of a patient's body.

But now a British team have designed one that can spot heart failure, heart valve disease and abnormal heart rhythms almost instantly. The tool could be a "real game-changer" resulting in patients being treated sooner, the researchers say - with plans to roll the device out across the UK following a study involving 205 GP surgeries in west and north-west London. The new device replaces the traditional chest piece with a device around the size of a playing card. It uses a microphone to analyse subtle differences in heartbeat and blood flow that the human ear cannot detect.

It takes an ECG (electrocardiogram), recording electrical signals from the heart, and sends the information to the cloud to be analysed by AI trained on data from tens of thousands of patients. The study by Imperial College London and Imperial College Healthcare NHS Trust involved saw more than 12,000 patients from 96 surgeries examined with the AI stethoscope. They were then compared to patients from 109 GP surgeries where the technology was not used. Those examined with the device were 2.33 times more likely to be diagnosed with heart failure in the next 12 months, researchers said.

 Abnormal heartbeat patterns, which have no symptoms but can increase stroke risk, were 3.5 times more detectable with the AI stethoscopes, while heart valve disease was 1.9 times more detectable. Dr Sonya Babu-Narayan, clinical director at the British Heart Foundation (BHF) and consultant cardiologist, said: "This is an elegant example of how the humble stethoscope, invented more than 200 years ago, can be upgraded for the 21st century". Such innovations are vital "because so often this condition is only diagnosed at an advanced stage when patients attend hospital as an emergency", she said. (BBC)

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