Machine-learning models that incorporate common clinical features along with ECG findings may help identify patients who are likely to have coronary artery calcium (CAC), with potential implications ...
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 ...
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.
An electrocardiogram (ECG) is a tool used to measure the heartbeat using an electrical current. By following the current from 10 electrodes placed around the body, a traditional 12-lead ECG can give a ...
Heart Test Laboratories Inc., doing business as Heartsciences, said an independent study shows its Myovista electrocardiogram (ECG) machine learning model could be a cost-effective way to predict and ...
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 ...
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