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Verida (spectral CT scanner)

Product
Developers: Philips Healthcare
Date of the premiere of the system: December 2025
Branches: Pharmaceuticals, Medicine, Healthcare
Technology: Computed tomographs

2025: Product Announcement

On November 30, 2025, Philips introduced the Verida system - the world's first spectral CT scanner with a detector that is fully controlled by artificial intelligence. Neural network algorithms reduce noise levels, improve image quality, and speed up clinical workflow.

The Philips spectral detector allows you to obtain several layers of data - standard and spectral - in one revolution of the X-ray tube. Unlike conventional CT machines, such scanners make it possible to analyze not only anatomical structures, but also the composition of tissues within the framework of one study. The spectral detector simultaneously detects low and high energy photons: thanks to this, complex data can be obtained in one scanning session, which will be useful for making an accurate diagnosis.

The world's first CT scanner, which is fully AI-controlled, has entered the market. This reduces radiation dose and speeds up scanning by half

The Verida platform uses AI at all stages of visualization. The device is capable of reconstructing up to 145 images per second, which allows you to speed up research twice as compared to previous generation installations: results are returned in less than 30 seconds. The new product implements the proprietary Philips Spectral Precise Image technology - a deep learning reconstruction mechanism.

Thanks to the use of AI and a third-generation spectral detector, the radiation dose is reduced. The system allows to reduce the need for repeated scans with insufficiently effective studies, as well as reduce the time for making a diagnosis.

Dan Xu, head of CT at Philips, notes that Verida combines the latest developments in spectral CT with advanced AI algorithms. This helps doctors identify and classify diseases in the early stages, and also reduces the variability of diagnoses.[1]

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