An algorithm imitating the human brain could be used in smartwatches to prevent sudden cardiac deaths in future ...

Many cases of sudden cardiac death could be avoided thanks to artificial intelligence. As part of a new study published in ...

In a new study, researchers have developed an AI-powered neural network capable of identifying patients at risk of ...

Heart sounds can be described by their intensity, pitch, location, quality and timing in the cardiac cycle. Intensity: Heart sounds can be described as increased in intensity (loud), decreased in ...

AI could help prevent many cases of sudden cardiac death. A new study in the European Heart Journal highlights an artificial ...

Innovation created by healthtech supported by FAPESP showed the lowest estimation error among all non-invasive methods already available in the world.The tecnnology consists of a sensor placed on the ...

Artificial intelligence (AI) can help scientists identify patients at risk of a serious arrhythmia that is capable of ...

Murmurs are described by their timing in the cardiac cycle, intensity, shape, pitch, location, radiation and response to dynamic maneuvers. Using the aforementioned criteria, a clinician can ...

"Such fluctuations in cardiac activity may affect how quickly ... underscore the need for physicians to consider the menstrual cycle when assessing heart health and prescribing treatments.

AI-based algorithm predicts severe arrhythmia risk, potentially preventing sudden cardiac death through early detection.