Royal Philips, a global leader in health technology, announced new additions to its CT imaging portfolio at the Radiological Society of North America (RSNA) annual meeting (November 28 – December 2, Chicago, USA). The new CT 5100 – Incisive – features CT Smart Workflow [1], a comprehensive suite of artificial intelligence* (AI) enabled capabilities designed to accelerate CT workflows, enhance diagnostic confidence, and maximize equipment up-time, helping imaging services to enhance patient outcomes, improve department efficiency, reduce operational costs, and meet ambitious financial objectives.
Also Read: Fovia Ai to Showcase AI Visualization Integrations at IAIP Exhibit, RSNA 2021
CT 5100 – Incisive – with CT Smart Workflow [1] includes Philips’ Tube for Life guarantee, which over the lifetime of the scanner can potentially lower operating expenses by an estimated USD 420,000 [2][3]. This newest CT innovation from Philips also provides access to Philips’ Technology Maximizer program, which provides users with the latest software and hardware updates as they are released.
“With the combination of CT 5100 – Incisive – and CT Smart Workflow, we have embedded AI into the tools that radiology departments use every day so they can apply their expertise to the patient, rather than unnecessary distractions associated with the CT imaging itself,” said Frans Venker, General Manager of Computed Tomography at Philips. “By automating many of the process-related obstacles to CT imaging performance, we aim to clear the way for precision in dose, speed, and image quality that will help imaging departments to meet their financial, clinical, and operational goals.”
Improving the CT experience with smart clinical decision-making CT 5100 – Incisive – with CT Smart Workflow adds to Philips’ growing suite of AI-enabled smart workflow solutions, including the recently launched MR 5300 1.5T system and the new MR 7700 [4] 3.0T system. These recent smart systems introductions are all designed to support efficiency improvement, operator consistency, and diagnostic confidence at the point of image acquisition by automating many of the time- consuming procedural tasks that radiologists, technicians and staff traditionally had to perform manually.