Ultrasound

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Researchers Note Lack Of Benefit with AI in Women with Dense Breasts

In a study of over 1.300 women with dense breasts, the combination of mammography and ultrasound had a recall rate of 11.7 percent, a specificity rate of 89.1 percent and an accuracy rate of 89.2 percent in comparison to a 21.4 percent recall rate, 79.4 percent specificity and 79.5 percent accuracy for the combination of mammography, ultrasound, and artificial intelligence (AI).

Ultromics Gets HCPCS Code For AI-Powered EchoGo Heart Failure Device

An artificial intelligence (AI)-enabled platform that can reportedly diagnose heart failure with preserved ejection fraction (HFpEF) through analysis of a single echocardiogram view, the EchoGo Heart Failure now has a HCPCS code for use of the technology in outpatient settings for Medicare beneficiaries.

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).