Cardiac MRI

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In a recent video interview, David Ouyang, M.D., shared insights from two recent studies he co-authored on the use of artificial intelligence (AI) to improve initial assessment of left ventricular ejection fraction (LVEF) on echocardiography and ascertain cardiac risks associated with changes in the left ventricle sphericity index seen on magnetic resonance imaging (MRI).

In the study of 119 patients who had endovascular treatment for intracranial atherosclerotic stenosis, multivariable analysis revealed that post-op ischemic brain lesions on diffusion-weighted magnetic resonance imaging (MRI) were 3.6 times more likely to occur in patients who smoke cigarettes and 2.9 times more likely in patients who had multiple operative attempts.

In a recent video interview, Raymond Y. Kwong, MD, discussed his clinical experience with the Vista.ai (formerly HeartVista) One Click MRI software and recent research, presented at the Radiological Society of North America (RSNA) conference, that revealed a 31 percent decrease in cardiac MRI scan times for patients with cardiomyopathy or structural heart disease.

Offering more than 70 clinical applications, the next-generation edition of the Advanced Visualization Workspace reportedly includes enhanced liver analysis and artificial intelligence (AI)-powered scoring of early brain infarction noted on computed tomography (CT) scans for patients with ischemic stroke.