Philips CT 3500 offers several image-reconstruction and workflow-enhancing features. Credit: Koninklijke Philips N.V.

Health technology company Royal Philips (Philips) has introduced a new artificial intelligence (AI)-powered high-throughput computed tomography (CT) system, the Philips CT 3500.

The new system is designed to meet the requirements of routine radiology and high-volume screening programmes.

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It offers a variety of image-reconstruction and workflow-enhancing features that enable consistent, rapid and high-quality images for diagnoses.

Based on Philips’ vMRC tube, the CT 3500 incorporates both internal and external proactive monitoring sensors to track vital performance indicators.

These advanced sensors enable Philips service engineers to intervene before any potential disruptions to CT operations.

Philips CT general manager Frans Venker said: “Today, many radiology departments scan hundreds of patients a day. We’ve engineered the Philips CT 3500 to reduce the pain points that these high-volume departments face by developing a versatile, reliable, high-throughput imaging solution.

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“It automates radiographers’ most time-consuming steps so that they can spend more time focusing on the patient.”

The CT 3500 uses the company’s AI-driven CT Smart Workflow for the automation of each step in the scanning process.

The company’s Precise Position, part of its AI-enabled Precise Suite solution, automates patient positioning using a camera, resulting in a 50% increase in positioning accuracy and a reduction in patient positioning time by up to 23%.

Precise AI-based image reconstruction ensures superior image quality for precise diagnoses by radiologists.

It enables radiology departments to achieve significant improvements, including up to 80% lower radiation dose, 60% better low-contrast detectability and 85% less noise.

Earlier this month, Philips also introduced the Philips Image Guided Therapy Mobile C-arm System 1000, named Zenition 10.

The system uses the company’s flat panel detector technology to facilitate low-cost treatment and improved patient outcomes.