Editor’s Note: This article originally appeared on ECG’s website. The ECG team is a preferred vendor in the MassHealth TA program. Learn more about our participation in the program, including the ...
This ECG shows normal sinus rhythm. There are small narrow Q waves in II-III-AVF that do not fulfill the criteria for “pathologic” Q waves (> 0.2 second or > 5 mV). The QTc (Fridericia’s formula) is ...
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 artificial intelligence (AI) algorithm has shown it is able to distinguish between healthy White and Black people using ...
The ECG shows sinus tachycardia at about 115 beats per minute with a PR interval of about 0.15 sec (normal). The P waves show normal duration, but they are peaked in II, II and AVF and their amplitude ...
Aiml Resources ( ($TSE:AIML) ) just unveiled an announcement. AI/ML Innovations Inc. announced that its subsidiary, NeuralCloud Solutions, is ...
Deep learning (DL) has achieved promising performance in detecting common abnormalities from the 12-lead electrocardiogram (ECG). However, diagnostic redundancy exists in the 12-lead ECG, which could ...
Extracting the foetal signal from the mother’s abdominal electrocardiogram is a crucial step for monitoring the health of the unborn child. (Courtesy: iStock/iTie) Researchers in Iran have used a deep ...
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.
We've read the fine print -- and consulted experts -- about Apple's irregular heart rhythm technology so you don’t have to. Danielle Kosecki is an award-winning journalist who has covered health and ...
An artificial intelligence (AI) deep-learning algorithm interpreting preoperative ECGs can identify risk for postoperative death in those undergoing cardiac surgery, noncardiac surgery, and ...
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