Chronic obstructive pulmonary disease (COPD) is a leading cause of morbidity and mortality globally. Effective management ...
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 ...
Mount Sinai analysis looks at the effectiveness of electrocardiograms analyzed via deep learning as a tool for early COPD detection ...
Mount Sinai researchers showed that deep learning applied to standard ECGs accurately detected chronic obstructive pulmonary ...
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 ...
Enlarge Source: Learn the Heart Which of the following does the above ECG represent? The ECG shows sinus tachycardia at about 110 beats per minute with a prolonged PR of 0.22 seconds: first-degree ...
BOSTON, May 8, 2018 /PRNewswire/ -- Medicalgorithmics, S.A. (WSE: MDG) will present the results of a large study (n=16,595) evaluating online vs offline ECG monitoring methods to detect paroxysmal ...
An artificial intelligence (AI) deep-learning algorithm interpreting preoperative ECGs can identify risk for postoperative death in those undergoing cardiac surgery, noncardiac surgery, and ...
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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