Women's Health Ultrasound

The De Novo approval for Viz HCM, which assesses electrocardiograms with artificial intelligence (AI) to identify possible cases of hypertrophic cardiomyopathy (HCM), is the 12th FDA clearance of algorithms on the Viz.ai Platform.

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In what may represent the first CMS approval of a new technology add-on payment (NTAP) for an artificial intelligence (AI)-based heart failure detection platform, use of the EchoGo Heart Failure system will be eligible for up to $1,023.75 in NTAP reimbursement per acute hospital in-patient stay as of October 1, 2023.

With reported performance validation on over 17,000 ultrasound images, Sonio Detect employs artificial intelligence (AI) to help ensure quality criteria for fetal ultrasound imaging of the brain and heart.

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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).

Indicated for use in two-dimensional transthoracic echocardiography (2D-TTE) in adults, the AI Guidance software reportedly enables novice ultrasound users to obtain real-time cardiac imaging at the point of care.

The newly FDA-cleared Fibroid Mapping Reviewer Application, which allows the creation of 3D uterus models from ultrasound images, reportedly facilitates diagnosis and interventional procedures for patients with uterine fibroids.

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Optimized for musculoskeletal assessment, needle guidance and vascular access, the PocketPro H2 wireless ultrasound unit reportedly provides 90 minutes of high-quality continuous scanning for point-of-care applications.

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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.

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The new portable ultrasound device, which is being showcased at the American Society of Echocardiography (ASE) conference, offers enhanced cardiac imaging as well as shared transducer interoperability and workflows with existing EPIQ CVx and Affiniti CVx ultrasound systems.

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In a new study involving over 400,000 women, researchers found that ultrasound screening was performed for 95.3 percent of women with dense breasts but only 21.7 percent of women with a first-degree family history of breast cancer.

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Researchers found that a deep convolutional neural network, incorporating B-mode ultrasound and shear wave elastography data, had nearly an 88 percent sensitivity rate for predicting neoadjuvant chemotherapy response in patients with breast cancer.

In order to facilitate optimal detection and assessment of liver fibrosis and steatosis, the newly launched Hepatus 6 Diagnostic Ultrasound System offers the capabilities of real-time two-dimensional ultrasound with visual transient elastography in one device.

Catch up on the top five most viewed content at Diagnostic Imaging for the month of May 2023.

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Emerging breast ultrasound research showed the use of computer-aided diagnosis (CAD), powered by deep learning, led to 24 percent and 36.9 percent improvements in accuracy and specificity, respectively, in the use of BI-RADS classifications by radiologists without breast ultrasound expertise.

African American and Asian-Chinese women have a disproportionately higher prevalence of fibroids, according to newly published transvaginal ultrasound findings in a diverse population of nearly 1,000 women.

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Adjunctive use of an artificial intelligence (AI) software demonstrated nearly equivalent sensitivity and over 28 percent higher accuracy in comparison to radiologist assessment of breast ultrasound images for breast lesions, according to new research presented at the recent Society of Breast Imaging (SBI) conference.

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

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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.