A machine learning algorithm running on a smartwatch demonstrated the ability to detect sudden loss of pulse with high specificity (99.99%) and moderate sensitivity (67.23%), according to a study led ...

A smart-technology wearable wristband device may be able to automatically detect cardiac arrest, which could lead to faster medical assistance and increased survival odds when cardiac arrest occurs ...

Cardiac arrest (CA) poses a significant global health challenge and often results in poor prognosis. We developed an interpretable and applicable machine learning (ML) model for predicting in-hospital ...

Results from the RAPID-MIRACLE trial have found, for the first time, that the widely used MIRACLE 2 risk score can be applied outside a hospital setting to accurately predict brain injury following a ...

Each year in the U.S., more than 300,000 people die from sudden cardiac arrest, a condition in which the heart's electrical ...

Early and accurate prediction of neurological outcomes in comatose patients following cardiac arrest is critical for informed clinical decision-making. Existing studies have predominantly focused on ...