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Researchers have identified the 10 top predictors of future heart failure for patients living with type 2 diabetes by using a machine learning model that generates a risk score.September 16
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Remote blood pressure monitoring is an effective tool for managing hypertension in postpartum women at home after hospital discharge.September 12
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Using electrocardiogram data, Mayo Clinic researchers have developed a convolutional neural network that is able to determine physiologic age, a measure of patients’ overall body function and health status.August 28
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A New Jersey hospital is testing a device to screen patients with cardiovascular disease or atrial fibrillation for obstructive sleep apnea while they are in their homes.August 22
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Bayer AG has entered a two-year agreement to use artificial intelligence to hunt for heart treatments using Sensyne Health’s trove of U.K. health records.August 7
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Atrial fibrillation is difficult to diagnose, especially if the heart is in normal rhythm during a test. But artificial intelligence is able to detect recent AF that occurred without symptoms or that is impending.August 6
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Scientists at Carnegie Mellon University are using 3D printing to rebuild components of the heart, ranging from small blood vessels to moving ventricles.August 5
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Machine learning models appear better than traditional scoring systems at forecasting from coronary CT angiography whether patients would die or have a heart attack years later.July 24
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A new method for evaluating electrocardiographic signals has been shown to be more effective than cardiac telemetry in detecting atrial fibrillation in stroke patients.July 15
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A new method for evaluating electrocardiographic signals has been shown to be more effective than cardiac telemetry in detecting atrial fibrillation in stroke patients.July 15
