Abstract: The value of Electrocardiogram (ECG) monitoring in early cardiovascular disease (CVD) detection is undeniable, especially with the aid of intelligent wearable devices. Despite this, the ...
Magnetic resonance imaging (MRI) is one of the most commonly used tests in neurology and neurosurgery. MRI provides exquisite detail of brain, spinal cord and vascular anatomy, and has the advantage ...
Using artificial intelligence (AI) to analyze electrocardiograms (ECG) improved detection of severe heart attacks, including those that presented with unconventional symptoms, or atypical ECG patterns ...
Background Out-of-hospital cardiac arrest (OHCA) remains a leading cause of mortality. Survival from OHCA depends on good quality cardiopulmonary resuscitation from ambulance personnel. The ‘time on ...
AASPI PI Dr. Bedle recorded short practice lectures (Yes - professors practice their class lectures!) to accompany her GPHY 4874 Seismic Interpretation course at OU. Unfortunately, there is not a good ...
An investigation has found a "concerning level of variation" in how 12-lead electrocardiogram (ECG) skills are taught in UK undergraduate paramedic programmes. A report by the Health Services Safety ...
Welcome to the first part of our Blender tutorial series for absolute beginners! In this episode, we'll cover the essential basics you need to get started with Blender. From navigating the interface ...
Abstract: This study introduces an innovative method for assessing ECG interpretation abilities in medical professionals via eye-tracking data. We examine eye movement patterns from five separate ...
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