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Philips has pioneered this detector-based spectral CT approach that produces multiple spectral outputs from a single scan without sacrificing performance or increasing scan time.

USA — Royal Philips, a global leader in health technology, has launched Verida, the world’s first detector-based spectral CT system fully powered by artificial intelligence (AI), revealed at RSNA 2025.
This innovation represents a significant leap forward in computed tomography (CT) technology, as AI enhances the entire imaging process by reducing system noise, improving image quality, and accelerating clinical workflows.
Philips’ spectral CT technology, which already boasts over 800 installations worldwide and relies on more than 800 peer-reviewed studies, integrates seamlessly within clinical settings through PACS-native delivery.
Unlike conventional CT, spectral CT distinguishes between materials by measuring how different tissues absorb varying x-ray energy levels, allowing for more precise imaging.
Philips has pioneered this detector-based spectral CT approach that produces multiple spectral outputs from a single scan without sacrificing performance or increasing scan time.
Verida takes this further by integrating AI throughout the imaging chain—from data acquisition to image reconstruction—resulting in superior spectral images with minimal noise alongside high-definition conventional images.
With its AI capabilities, Verida achieves significant radiation dose reduction without compromising image clarity and lowers energy usage by up to 45%.
Prof. Eliseo Vañó Galván, a cardiovascular radiologist and chairman of the CT & MR Department at Hospital Nuestra Sra.
Del Rosario in Madrid, Spain, shared how Verida’s clinical advantages are poised to transform cardiac imaging.
He plans to adopt spectral imaging routinely for all cardiac patients, aiming to create a fully spectral CT department.
After evaluating several systems, including photon-counting CT, Prof. Vañó Galván chose Philips for its precision delivered through a streamlined, user-friendly platform.
The system’s advanced imaging promotes greater diagnostic confidence and offers the potential to reduce invasive angiograms across cardiology and other clinical fields.
Verida reconstructs 145 images per second, allowing entire exams to be ready in under 30 seconds—twice as fast as previous systems.
This speed supports up to 270 exams daily, improving throughput for busy clinical environments.
The system builds on Philips’ proprietary Spectral Precise Image technology, which combines deep-learning AI reconstruction with advanced spectral imaging, alongside a third-generation Nano-panel dual-layer detector that minimizes noise and optimizes AI performance.
Dan Xu, Philips’ business leader for CT, highlighted that Verida merges proven spectral CT technology with cutting-edge AI, setting new standards in image quality and workflow efficiency.
By embedding these capabilities fully into radiology workflow, Verida helps clinicians detect and characterize diseases earlier, reduces diagnostic variability, and enhances treatment pathways—all from a single scan.
Verida continues Philips’ software-defined CT strategy, using AI-driven spectral precision to improve clinical results and operational efficiency.
Designed for high-demand healthcare settings, it streamlines workflows, cuts repeat scans, and consistently produces sharp images across diverse patient care pathways.
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