Philips has introduced Verida, described as the first detector-based spectral CT system fully powered by AI.
According to a Nov. 30 news release, Verida integrates AI across the imaging chain, from acquisition to reconstruction, to deliver high-resolution images, reduce scan time and cut radiation dose and energy consumption. The system can reconstruct 145 images per second and generate complete exam results in under 30 seconds, enabling up to 270 exams per day.
Verida builds on Philips’ existing spectral CT platform, which has more than 800 global installations and is supported by more than 800 peer-reviewed publications. Philips said Verida’s deep-learning architecture allows the system to reduce energy consumption by up to 45% while maintaining diagnostic precision.
The system is awaiting compliance approval in the U.S., with availability expected in select markets beginning in 2026.
