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Can a smartwatch save your life? Google researchers develop smartwatch algorithm to detect cardiac arrest

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 ...

AI system detects sudden cardiac death risk, identifying thousands more patients annually

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

New wristband algorithm detects sudden cardiac arrest with high accuracy

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 ...
Nature

Development and validation of machine learning-based prediction model for outcome of cardiac arrest in intensive care units

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 ...
Nature

Explainable machine learning model based on EEG, ECG, and clinical features for predicting neurological outcomes in cardiac arrest patient

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 ...