by
Gus Iversen, Editor in Chief | December 02, 2025
Royal Philips has unveiled a new CT imaging system, Verida, which is the first detector-based spectral CT platform fully powered by artificial intelligence.
The system made its debut at the RSNA annual meeting and is CE marked, with FDA 510(k) clearance pending.
The Amsterdam-based company says Verida incorporates AI throughout the imaging process, from data acquisition to reconstruction, aiming to improve image quality while lowering radiation dose and streamlining workflow. The system is built on Philips’ existing detector-based spectral CT platform, which has over 800 peer-reviewed studies supporting its clinical use.
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Spectral CT distinguishes materials based on their absorption of different X-ray energy levels, offering additional tissue characterization that conventional CT does not. According to Philips, Verida improves on this technology by integrating a new deep learning-based reconstruction engine with a dual-layer detector designed to reduce system noise.
The company reports that Verida is capable of reconstructing 145 images per second, allowing entire scans to be processed in under 30 seconds — twice as fast as previous systems. In high-throughput settings, Philips claims the system can support up to 270 exams per day.
Professor Eliseo Vañó Galván, cardiovascular radiologist at Hospital Nuestra Señora del Rosario in Madrid, said the system has the potential to make spectral imaging a standard part of cardiac imaging workflows. “We evaluated many systems, including photon-counting CT, but chose Philips because it delivers the precision we need in a streamlined, easy-to-use platform,” he said.
While photon-counting CT has gained attention for its image resolution, Philips emphasized the maturity and scalability of its spectral CT technology. Dan Xu, business leader of CT at Philips, said, “Philips spectral CT has been a clinical workhorse for more than a decade and delivers comparable or better clinical outcomes, standing up to the most demanding throughput and at significantly lower total cost of ownership.”
