Finally, a third, fusion algorithm was created by combining the best-performing EKG algorithm with the best-performing EHR one. The results showed that the fusion model not only outperformed its ...

A pilot study suggests that new machine learning algorithm combining electrocardiogram (EKG) and electronic health record (EHR) data, could be more effective in screening blood clots in the lungs.

New artificial intelligence (AI) algorithms can detect signs of pulmonary embolism in electrocardiograms (EKGs), according to a study published in the European Heart Journal – Digital Health.

ROCHESTER, Minn. ? Heart disease can take a number of forms, but some types of heart disease, such as asymptomatic low ejection fraction, can be hard to recognize, especially in the early stages when ...

Mount Sinai pilot study suggests that machine learning algorithms which fuse electrocardiogram and electronic health record data may help doctors screen for these blood clots Pulmonary embolisms are ...

Pulmonary embolisms are dangerous, lung-clogging blot clots. In a pilot study, scientists at the Icahn School of Medicine at Mount Sinai showed for the first time that artificial intelligence (AI) ...