In the hours before a cardiac arrest, a patient’s body gives off tiny clues of what’s to come. Those clues can be too subtle for doctors to detect. But numbers may do the job just fine. That’s why ...

A new artificial intelligence-based approach can predict if and when a patient could die of cardiac arrest. The technology, built on raw images of patient's diseased hearts and patient backgrounds, ...

Clinician-scientists in the Smidt Heart Institute at Cedars-Sinai developed a clinical algorithm that, for the first time, distinguishes between treatable sudden cardiac arrest and untreatable forms ...

To address out-of-hospital cardiac arrest, Osaka Metropolitan University researchers developed a new scoring method that uses only data available from prehospital resuscitations to accurately predict ...

A team of Johns Hopkins University biomedical engineers and Johns Hopkins Medicine heart specialists have developed an algorithm that warns doctors several hours before hospitalized COVID-19 patients ...

The use of left-sided Impella microaxial flow pumps has expanded rapidly for the management of cardiogenic shock, left ...