Cardiac Ultrasound

Catch up on the top radiology content of the past week.

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).

Catch up on the top radiology content of the past week.

The artificial intelligence (AI)-powered EchoGo Amyloidosis can reportedly detect cardiac amyloidosis by assessing a single echocardiogram.

Catch up on the top AI-related news and research from the past month.

Lamenting a lack of control over imaging requests from referring clinicians, this author suggests that a more collaborative approach between referrers and radiologists may facilitate more efficient use of imaging.

The BD Prevue™ II Peripheral Vascular Access System reportedly offers real-time needle depth markers that may reduce multiple needlestick attempts and allow easier placement of intravenous (IV) access in high-risk patients.

Catch up on the top radiology content of the past week.

Based on a review of 3,495 echocardiographic studies to evaluate left ventricular ejection fraction (LVEF), researchers found that cardiologists changed initial artificial intelligence (AI) assessment 16.8 percent of the time and initial sonographer assessment 27.2 percent of the time.

Smart-CKD, an ultrasound-derived, computer-aided diagnosis (CAD) tool, demonstrated an area under the curve of 81 percent and an 83 percent sensitivity rate in a validation cohort for differentiating between mild and moderate to severe fibrosis in patients with chronic kidney disease.

Findings from three randomized trials of ultrasound renal denervation revealed a significant reduction in daytime ambulatory systolic blood pressure in patients with varying levels of hypertension.

The TE Air reportedly combines enhanced point-of-care ultrasound imaging with an array of practical benefits for radiologists.

Employing an artificial intelligence (AI)-powered scoring system, LVivo IQS reportedly provides real-time assessment of the quality of cardiac ultrasound images.

CAAS Qardia 2.0, an updated version of the CAAS Qardia echocardiography software platform, reportedly incorporates artificial intelligence (AI)-enabled workflows, and provides enhanced imaging and analysis of key cardiac measures.

Is there an optimal pace for navigating the ebbs and flows of our worklists in radiology?

Catch up on the most well-read ultrasound articles from 2022.

Touching on a variety of topics in radiology, here are the top five most well-read articles from Diagnostic Imaging in 2022.

The EchoGo® Heart Failure device reportedly has an 87.8 percent sensitivity rate and an 83 percent specificity rate for diagnosing heart failure with preserved ejection fraction, an increasingly prevalent but frequently misdiagnosed condition.

The Sonimage MX1 Platinum device reportedly offers a number of features to provide optimal ultrasound image resolution in a variety of point-of -care settings.

Catch up on the top AI-related radiology content of the past month.

While facilitating interdisciplinary colloaboration is a central objective with enterprise imaging platforms, this author says implementation of these platforms must ensure optimal patient privacy in sensitive cases involving abuse, assault and domestic violence.

Catch up on the top radiology content of the past week.

Offering the benefits of real-time collaboration and integrated connectivity, the portable ultrasound device may be utilized in a variety of clinical settings ranging from cardiology to obstetrics and gynecology.

Catch up on the top radiology content of the past week.

Offering uniform high-resolution images through a combination of beamforming and enhanced image processing, the new ultrasound platform reportedly has an array of diagnostic features ranging from cardiovascular applications to breast lesion assessment.