Strain imaging analysis is one of the automated parameters included in the newly FDA-cleared Us2.v2 software for adjunctive review of echocardiographic images.
In what may provide a boost for streamlining cardiac ultrasound workflows, the Food and Drug Administration (FDA) has granted 510(k) clearance for the Us2.v2 software (Us2.ai), which reportedly provides 45 automated parameters for adjunctive assessment of echocardiographic images.
Key aspects of the Us2.v2 software include strain imaging assessment, regional strain analysis, aortic stenosis measurement as well as analysis of left and right atrial and ventricular linear dimensions, according to Us2.ai.
Emphasizing that the software’s real-time automated capabilities reduce the variability that can occur with human assessment, Us2.ai said the Us2.v2 software also enhances workflow with explainable artificial intelligence (AI) output and streamlined reporting.
“By offering advanced capabilities that significantly enhance both precision and efficiency of echocardiographic analysis, this innovation dramatically reduces analysis time thereby speeding up clinical workflow. This is particularly helpful in clinical states that require additional imaging parameters such as strain, or are challenged by variability in interpretation such as aortic stenosis, said Madhav Swaminathan, M.D., a past president of the American Society of Echocardiography (ASE) and an associate professor of anesthesiology at Duke University Medical Center in Durham, N.C.
CT Study: AI Algorithm Comparable to Radiologists in Differentiating Small Renal Masses
May 14th 2024An emerging deep learning algorithm had a lower AUC and sensitivity than urological radiologists for differentiating between small renal masses on computed tomography (CT) scans but had a 21 percent higher sensitivity rate than non-urological radiologists, according to new research.
The Reading Room: Artificial Intelligence: What RSNA 2020 Offered, and What 2021 Could Bring
December 5th 2020Nina Kottler, M.D., chief medical officer of AI at Radiology Partners, discusses, during RSNA 2020, what new developments the annual meeting provided about these technologies, sessions to access, and what to expect in the coming year.
Appealing Prior Authorization Denials: Can it be Effective for Emerging Technologies?
May 14th 2024While radiologists and other providers may be discouraged by insurer denials saying the use of a technological advance is “unproven and investigational,” 82 percent of appeals for prior authorization denials were approved in 2021.
Current Insights and Emerging Roles for Contrast-Enhanced Mammography
May 10th 2024In a recent lecture at the 2024 ARRS Annual Meeting, Jordana Phillips, MD, discussed the role of contrast-enhanced mammography in staging breast cancer, evaluating response to neoadjuvant chemotherapy and recalls from screening.