FDA Clears Philips AI-Powered Spectral CT Imaging System
The system uses artificial intelligence for image reconstruction to improve diagnostic precision and workflow efficiency in radiology, cardiology, and oncology.
The system uses artificial intelligence for image reconstruction to improve diagnostic precision and workflow efficiency in radiology, cardiology, and oncology.
The integration automatically synchronizes CT images with C-arm movement, aiming to support workflow efficiency and additional anatomical insights in PCI procedures.
The solution converts standard non-contrast chest CTs into quantitative lung function maps and has also received CMS reimbursement confirmation.
The system uses artificial intelligence for image reconstruction to improve diagnostic precision and workflow efficiency in radiology, cardiology, and oncology.
Newly cleared technologies aim to improve image quality, streamline workflows, and support a range of clinical applications across nuclear medicine.
Read MoreVirtual reality is opening new pathways for technician training—bringing immersive, hands-on practice to both education and clinical operations.
Read MoreThe decade-long agreement with Siemens Healthineers will support standardization and life-cycle management of imaging equipment across Tower Health’s network.
Read MoreThe new system combines AI-powered workflow and ECG-free scanning with advanced imaging solutions to improve access to cardiac CT, even in complex cases like atrial fibrillation and calcified arteries.
Read MoreThe innovations extend deep learning reconstruction and photon-filtering technology to a broader range of CT imaging applications, including lung and musculoskeletal scans.
Read MoreThe class includes two dual-source scanners and a single-source photon-counting CT scanner.
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Siemens Healthineers introduced the Naeotom Alpha class of photon-counting CT scanners, expanding access to detailed, high-speed imaging.