Philips publicly introduced its next-generation radiology CT system, Rembra this week at ECR 2026 in Vienna. According to a company press release, rising patient volumes, increasing clinical complexity and workforce shortages are pushing frontline, high-acuity and high-demand imaging to its limit, and Rembra was engineered to meet these challenges.

Rembra brings together advanced detector technology, ultra-fast scan and reconstruction speeds and streamlined workflows in a system built for speed, consistency and long-term value. “Rembra is built for the realities that clinicians face every day,” said Dan Xu, Business Leader for Computed Tomography at Philips. “By combining our most advanced detector technology with AI-powered workflows and industry-leading speed, Rembra represents a significant step forward for high-acuity imaging, delivering speed, access and diagnostic confidence when it matters most.”

In emergency, trauma and other high-demand settings, delays in image reconstruction can slow diagnosis and impact outcomes. Philips asserts Rembra addresses this challenge with an industry-leading reconstruction speed – up to 106 images per second and can support 270 exams per day. This speed is designed to help radiologists and clinicians access images quickly in stroke, trauma and other urgent cases and may support smoother workflows and timely clinical decisions in busy emergency departments, according to Philips.

“In interventional and high acuity settings, precise access and efficient positioning are essential,” said Professor Olivier Rouvière, MD, PhD, Head of Department at Hospices Civils de Lyon (Centre Hospitalier Universitaire de Lyon). “Rembra’s 85 cm bore supports improved access as well as faster and safer positioning of long needles and instruments in complex procedures.” At the heart of Rembra is Philips’ newest NanoPanel Precise XD, a high-density detector designed from the outset to work hand-in-hand with AI. It delivers high dose-efficiency, high-resolution imaging at the source and is designed to support overall image quality and diagnostic confidence. Integrated AI-enabled smart workflows can help automate routine steps and simplify certain operations. These features are intended to support workflow efficiency for consistent results.