FDA Clears Deep Learning Image Reconstruction for Spotlight CT Scanners
The artificial intelligence (AI)-powered technology reportedly offers decreased noise magnitude while enhancing image reconstruction for cardiovascular computed tomography (CT) scanners.
The Food and Drug Adminstration (FDA) has granted 510(k) clearance for the addition of deep learning image reconstruction (DLIR) to the Spotlight™ cardiovascular computed tomography (CT) and Spotlight Duo cardiothoracic CT systems.
Utilizing an advanced convolutional neural network (CNN), the DLIR technology maintains high-contrast spatial resolution while reducing pixel-wise noise magnitude, according to Arineta Cardio Imaging, the manufacturer of the aforementioned CT systems.
Trained on more than three billion image data points, the DLIR technology enhances the use of cross-sectional images for cardiovascular imaging assessment in a variety of settings.
“We have used Arineta cardiac CT systems for several years, and they provide the highest quality cardiac CT clinical images for our practice. From our FDA 510(k) reader study, Arineta’s DLIR technology continues that excellence. Arineta’s SpotLight systems make the highest performance cardiac CT available at point-of-care, in an office, mobile, or cath lab setting,” said Matthew Budoff, M.D., the director of Cardiac Computed Tomography within the Division of Cardiology at the Harbor-UCLA Medical Center in Torrance, Ca.
Considering Breast- and Lesion-Level Assessments with Mammography AI: What New Research Reveals
June 27th 2025While there was a decline of AUC for mammography AI software from breast-level assessments to lesion-level evaluation, the authors of a new study, involving 1,200 women, found that AI offered over a seven percent higher AUC for lesion-level interpretation in comparison to unassisted expert readers.
Can CT-Based Deep Learning Bolster Prognostic Assessments of Ground-Glass Nodules?
June 19th 2025Emerging research shows that a multiple time-series deep learning model assessment of CT images provides 20 percent higher sensitivity than a delta radiomic model and 56 percent higher sensitivity than a clinical model for prognostic evaluation of ground-glass nodules.
FDA Clears Ultrasound AI Detection for Pleural Effusion and Consolidation
June 18th 2025The 14th FDA-cleared AI software embedded in the Exo Iris ultrasound device reportedly enables automated detection of key pulmonary findings that may facilitate detection of pneumonia and tuberculosis in seconds.
