New machine learning model predicts cardiac arrest in ICU patients using ECG data with high accuracy
In a recent article published in Npj Digital Medicine, researchers utilized electrocardiogram (ECG) data from a large retrospective cohort to extract various heart rate variability (HRV) measures.
In a recently published study in the journal Nature Medicine, researchers developed and tested an intelligent model for diagnosing patients with occlusion myocardial infarction (OMI). This model was ...
An asymptomatic male patient with definite LQTS with a normal ECG and QTc who was flagged by the AI. Photo Credit: J. Martijn Bos and Michael Ackerman. A new artificial intelligence (AI) solution ...
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