- AI
- Molecular Imaging
- CT
- X-Ray
- Ultrasound
- MRI
- Facility Management
- Mammography
AI/CT Combination for Assessing Pulmonary Embolism Severity Gets FDA Nod
Facilitating expedited assessment of pulmonary embolism severity, the emerging artificial intelligence (AI) tool Rapid RV/LV reportedly calculates the right ventricle/left ventricle (RV/LV) ratio within minutes of a computed tomography pulmonary angiogram (CTPA).
The Food and Drug Administration (FDA) has granted 510(k) clearance for RapidAI’s Rapid RV/LV, an artificial intelligence (AI)-powered modality that provides expedited calculation of the right ventricle/left ventricle (RV/LV) ratio, a key factor for determining pulmonary embolism (PE) severity.
Integrated with the company’s previously FDA-cleared Rapid PE platform, Rapid RV/LV identifies potential right heart strain with automated measurement of RV/LV ratios within minutes of analyzing a computed tomography pulmonary angiogram (CTPA), according to RapidAI.
Peter Monteleone, M.D., FACC, FSCAI, said Rapid RV/LV will be a significant advance in the evaluation of elevated risk for pulmonary embolism, a disease that is commonly underdiagnosed.
“The ability to access the RV/LV ratio along with CTPA images will allow clinicians to quicky identify patients who would benefit from further treatment, improving patient outcomes and saving lives,” emphasized Dr. Monteleone, an interventional cardiologist at Ascension Texas Cardiovascular in Austin, Tx., and assistant professor in the Department of Internal Medicine at Dell Medical School at the University of Texas at Austin. “This will have a profound impact on our PE program here at Ascension.”
(Editor’s note: For related content, see “Can Deep Learning Assessment of X-Rays Improve Triage of Patients with Acute Chest Pain?” and “Viz.ai Gets FDA Clearance for New RV/LV Ratio Algorithm.”)
CT Study Reveals Key Indicators for Angiolymphatic Invasion in Non-Small Cell Lung Cancer
January 15th 2025In computed tomography (CT) scans for patients with solid non-small cell lung cancer (NSCLC) < 30 mm, emerging research suggests the lollipop sign is associated with a greater than fourfold likelihood of angiolymphatic invasion.
Multicenter Study Shows Merits of AI-Powered Ultrasound Assessment for Detecting Ovarian Cancer
January 3rd 2025Adjunctive AI offered greater than seven percent increases in sensitivity, specificity, and accuracy for ultrasound detection of ovarian cancer in comparison to unassisted clinicians who lacked ultrasound expertise, according to findings from new international multicenter research.
New CT and MRI Research Shows Link Between LR-M Lesions and Rapid Progression of Early-Stage HCC
January 2nd 2025Seventy percent of LR-M hepatocellular carcinoma (HCC) cases were associated with rapid growth in comparison to 12.5 percent of LR-4 HCCs and 28.5 percent of LR-4 HCCs, according to a new study.
