AliveCor, the global leader in AI-powered cardiology, today announced it has received U.S. Food and Drug Administration (FDA) clearance for the next generation of KAI 12L--the AI powering the Kardia ...
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 ...
Starting in February, Kern County will be the first county in California to deploy new AI-powered electrocardiogram machines to more quickly detect heart attacks in patients in the field. Kern County ...
A new algorithm developed by researchers at the Mayo Clinic can effectively detect patients with a dangerous heart dysfunction using data gathered by an Apple Watch. A large trial is now underway ...
Cardiovascular disease is the leading cause of death in Chautauqua County. Thanks to a grant from the Chautauqua Region Community Foundation, The Resource Center soon will be better equipped to help ...
An artificial intelligence (AI) algorithm paired with the single-lead electrocardiogram (ECG) sensors on a smartwatch accurately diagnosed structural heart diseases, such as weakened pumping ability, ...
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.
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