Royal Philips has 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 , 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.
CT 5100 – Incisive – with CT Smart Workflow  includes Philips’ Tube for Life guarantee, which over the lifetime of the scanner can potentially lower operating expenses by an estimated USD 420,000 . 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  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.
CT Smart Workflow is the latest in a continuous program of performance enhancements for Philips’ market-leading Incisive CT platform, which includes a newly-designed patient table to accommodate bariatric patients; OnPlan gantry controls that demonstrate a 19%  reduction in time to results; and the company’s process improvement services Enterprise Performance Analytics – PerformanceBridge. The CT 5100 – Incisive – with CT Smart Workflow demonstrates how integrated, AI-driven solutions connect clinical intelligence and operational data across the radiology enterprise to advance precision diagnosis and treatment.
Philips’ latest innovations in CT imaging will debut at this year’s Radiological Society of North America (RSNA) Annual Meeting (November 28 – December 2, 2021, Chicago, U.S.). Join Philips at RSNA 2021 where the company will spotlight its new advanced technology driving connected workflows and smart diagnostic systems, including the CT 5100 – Incisive – with CT Smart Workflow, to increase efficiency and diagnostic confidence in precision care, and follow @PhilipsLiveFrom for updates throughout RSNA.
 CT Smart Workflow pending 510(k). Not for sale in the USA
 Life of the product is defined by Philips as 10 years. Tube for Life guarantee availability varies by country. Please contact your local Philips sales representative for details
 Actual operating costs for customers vary significantly because many variables exist (such as CT make and model, hospital/ imaging center size, case mix, system usage). The potential savings identified estimates the avoidance of purchasing replacement tubes over a 10-year useful life of a CT system, based on an average selling price of $140,000 per replacement tube and estimated tube life of 3 years. There can be no guarantee that all customers will achieve this result. Tube for Life guarantee availability varies by country
 Pending 510(k) clearance. Not available for sale in the USA
 Based on a study Performed at Oz Radiology Group, Queensland, Australia. Results from case studies are not predictive of results in other cases. Results in other cases may vary
*According to the definition of AI from the EU High-Level Expert Group