- AI
- Molecular Imaging
- CT
- X-Ray
- Ultrasound
- MRI
- Facility Management
- Mammography
Toshiba's Latest Aquilion CT Receives FDA Clearance
The Aquilion Prime CT was designed for facilities that need to perform a wide variety of advanced clinical exams and produce high-quality clinical images with reduced radiation exposure, the company said.
The latest addition to Toshiba’s Aquilion CT product line has received FDA 510(k) clearance, the company announced.
The Aquilion Prime CT was designed for healthcare facilities that need to perform a wide variety of advanced clinical exams and produce high-quality clinical images with reduced radiation exposure, according to Toshiba America Medical Systems, Inc. The system has double-slice technology and the coneXact reconstruction algorithm, and can generate 160 unique slices per rotation, enhancing MPR and 3-D-rendered images.
The Aquilion Prime features an 80-row, 0.5 mm detector, a 7.5 MHU large-capacity tube, and a 0.35-second scanning. This allows for rapid data acquisition and shorter scan times, and the faster reconstruction aims to improve throughput, the company said. The system has a 78-cm aperture gantry, and a 660-pound patient-weight capacity couch.
The system features the Adaptive Iterative Dose Reduction, the iterative process for reducing noise from the image, and NEMA XR 25 Dose Check software, aimed at increasing user awareness of dose.
Can AI Enhance CT Detection of Incidental Extrapulmonary Abnormalities and Prediction of Mortality?
September 18th 2024Emphasizing multi-structure segmentation and feature extraction from chest CT scans, an emerging AI model demonstrated an approximately 70 percent AUC for predicting significant incidental extrapulmonary findings as well as two-year and 10-year all-cause mortality.
The Reading Room: Racial and Ethnic Minorities, Cancer Screenings, and COVID-19
November 3rd 2020In this podcast episode, Dr. Shalom Kalnicki, from Montefiore and Albert Einstein College of Medicine, discusses the disparities minority patients face with cancer screenings and what can be done to increase access during the pandemic.
Study Assesses Lung CT-Based AI Models for Predicting Interstitial Lung Abnormality
September 6th 2024A machine-learning-based model demonstrated an 87 percent area under the curve and a 90 percent specificity rate for predicting interstitial lung abnormality on CT scans, according to new research.
