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 ...
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 ...
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 ...
April 7 (UPI) --A new artificial intelligence-based approach using scans of patients' hearts and their medical history can predict whether they will die from cardiac arrest, a study published Thursday ...
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 ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback