By studying brain scans this AI model was able to differentiate between types of strokes with high accuracy.

That’s the contradiction embedded in this cutting-edge technology: It can often lead to panic rather than peace of mind.

Background: Several clinical factors have been studied to predict atrial fibrillation (AF ... is extracted from surface electrocardiographic (ECG) recordings. The AA will be characterized through ...

Data mining of electrocardiograph (ECG) attracts widespread attention, where automatic atrial fibrillation (AF) detection has become a hot research field. In this paper, an ensemble learning algorithm ...

Machine learning (ML) for personalised care, large language models for empathy training of cardiologists, wearable sensor ...

The Withings ScanWatch Nova is a hybrid watch with a classic analogue design and precise fitness tracking features like ECG, ...

The Ultra 3 introduces the LTPO3 OLED display, an innovative technology that delivers brighter visuals and improved ...

Foundation has announced the opening of the MHI’s Heart Valve Centre, a major medical and scientific initiative aimed at ...

Compatible with Android and even iPhones, the models have a battery life of up to 11 days and new sensors to measure health ...