FDA Radiology AI Devices

The uCT ATLAS Astound with uWS-CT-Dual Energy Analysis and uCT ATLAS with uWS-CT-Dual Energy Analysis are advanced CT imaging systems that produce cross-sectional whole-body images using X-rays. They incorporate AI-based technologies to enhance image reconstruction, reduce artifacts, and improve diagnostic quality, particularly for cardiac imaging and lung cancer screening. The systems support low dose CT for early lung nodule detection and use dual energy imaging for detailed tissue characterization.

The uCT 780 is a computed tomography (CT) system designed to produce cross-sectional images of the body including head, neck, chest, cardiac and vascular regions. It offers advanced AI-driven image reconstruction to improve image quality and reduce radiation dose, supporting lung cancer screening and various diagnostic tasks. This helps clinicians obtain clearer images for diagnosis while lowering radiation exposure for patients.

AI-Rad Companion (Pulmonary) by Siemens Healthcare GmbH is software that uses machine learning and deep learning to analyze previously acquired chest CT scans. It helps radiologists and physicians segment lungs and lung lobes, identify and measure solid and sub-solid lung nodules, and track changes over time. This supports clinicians in assessing lung diseases, improving workflow efficiency and diagnostic accuracy.

The uCT ATLAS Astound with uWS-CT-Dual Energy Analysis is an advanced CT scanner designed to produce cross-sectional images of various body regions, including head, whole body, cardiac, and vascular areas. It integrates deep learning for image reconstruction to enhance image quality and reduce noise, and includes software for dual energy analysis to differentiate tissue types based on their chemical composition. This aids clinicians in lung cancer screening and detailed anatomical evaluation, supporting early diagnosis and treatment.