Philips has introduced Verida, its new detector-based spectral CT system and the first to be fully powered by artificial intelligence.
Launched at RSNA 2025, the system applies AI across the imaging chain to reduce noise, improve image quality and support faster workflow.
Philips’ spectral CT platform is established in clinical practice, with more than 800 systems installed worldwide and strong research support.
Spectral CT measures how tissues absorb different x-ray energy levels, helping clinicians distinguish between materials that look similar on standard CT scans.
Philips’ approach generates multiple spectral results from a single scan without affecting performance or scan time.
Verida builds on this by integrating AI from acquisition to reconstruction, producing high-quality spectral and conventional images with reduced noise.
The system supports major radiation-dose reductions and can lower energy use by up to 45%. Clinical users report improved precision in cardiac imaging and reduced reliance on invasive procedures.
With reconstruction speeds of 145 images per second, Verida provides full exams in under 30 seconds and supports up to 270 daily examinations.
Built on Philips’ Spectral Precise Image technology and dual-layer detector, it is designed to enhance image consistency, overall operational efficiency and improved workflow integration in busy clinical environments.
