A team of researchers from New York University, Evidation Health and NYU Langone Health has found that deep learning electrocardiogram devices can be susceptible to adversarial attacks. In their paper ...
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 ...
An AI-powered model that analyzes electrocardiograms was able to accurately detect COPD early in internal testing and ...
Artificial intelligence (AI) electrocardiogram (ECG) data are promising for early detection of chronic obstructive pulmonary disease (COPD).
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.
DiaCardia, a novel artificial intelligence model that can accurately identify individuals with prediabetes using either 12-lead or single-lead ...
If you are a nurse, doctor or other medical professional that deals with cardiac issues or ECG readings, you owe it to yourself and your patients to take an EKG interpretation course. An EKG ...
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