We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

Features Partner Sites Information LinkXpress hp
Sign In
Advertise with Us
GLOBETECH PUBLISHING LLC

Philips Healthcare

Operates in Diagnostic Imaging Systems, Patient Care and Clinical Informatics, Customer Services, and Home Healthcare... read more Featured Products: More products

Download Mobile App




New AI-Powered CT System to Accelerate Routine Radiology and High-Volume Screening Programs

By MedImaging International staff writers
Posted on 18 May 2023
Print article
Image: CT 3500 CT system with AI-powered workflow and image reconstruction enhances productivity and first-time-right imaging (Photo courtesy of Philips)
Image: CT 3500 CT system with AI-powered workflow and image reconstruction enhances productivity and first-time-right imaging (Photo courtesy of Philips)

A new CT system powered by artificial intelligence (AI) has been designed to enhance return on investment by meeting the throughput and uptime needs of routine radiology and high-volume screening programs. The advanced CT system uses AI to optimize workflow and image reconstruction, thereby improving productivity and ensuring first-time-right imaging.

Royal Philips (Amsterdam‎, Noord-Holland) has unveiled the Philips CT 3500, an innovative high-throughput CT system specifically designed to meet the needs of routine radiology and large-scale screening programs. Equipped with AI capabilities, the Philips CT 3500 incorporates a variety of features that enhance image reconstruction and workflow, delivering consistent, rapid, and high-quality imaging necessary for confident diagnosis and higher return on investment, even in highly demanding, high-volume healthcare environments.

The CT 3500 comes with Philips' latest AI-driven CT Smart Workflow which automates every stage in the scanning process. Precise Position uses a camera to automatically ascertain patient orientation, enhancing positioning accuracy by 50% while cutting down patient positioning time by nearly 23%. Precise Planning automatically determines the area for scanning and the suitable Exam Card based on the patient’s anatomy, facilitating swift exam preparation and potentially improving inter-operator consistency. Precise Intervention provides automated setup and treatment guidance for tissue biopsies and other needle-based interventions.

In addition, the AI-based reconstruction feature, Precise Image, is designed to provide radiologists with the superior image quality needed for accurate diagnoses. Precise Image enables radiology departments to simultaneously achieve up to 60% improved low-contrast detectability, 85% noise reduction, and 80% decrease in radiation dose. All reference protocols are reconstructed in under a minute, supporting even the busiest of radiology departments. Designed to provide the continuous imaging necessary for high-throughput radiology departments and screening programs, including mobile screening units, the CT 3500 is built on Philips’ highly regarded vMRC tube. It also tracks critical performance metrics using internal and external proactive monitoring sensors that allow Philips service engineers to preemptively address any potential impact on CT operations.

“Increased financial pressures, chronic staff shortages, and escalating patient demand are driving radiology departments to do everything they can to maximize throughput, to guarantee equipment uptime, and to avoid repeat scans,” said Frans Venker, General Manager Computed Tomography at Philips. “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. It automates radiographers’ most time-consuming steps so that they can spend more time focusing on the patient.”

Related Links:
Royal Philips 

Gold Member
Solid State Kv/Dose Multi-Sensor
AGMS-DM+
New
Powered Echocardiography Imaging/Ultrasound Table
Powered Echo
New
Color Doppler Ultrasound System
DCU50
New
Digital Radiography System
meX+20BT

Print article
Radcal

Channels

Radiography

view channel
Image: 3D cinematic renderings of the control and diseased heart in anatomic orientation (Photo courtesy of ESRF)

Innovative X-Ray Technique Captures Human Heart with Unprecedented Detail

Cardiovascular disease remains the leading cause of death globally. In 2019, ischemic heart disease, which weakens the heart due to reduced blood supply, accounted for approximately 8.9 million or 16%... Read more

MRI

view channel
Image: SubtleSYNTH creates synthetic STIR images with zero acquisition time that are interchangeable with conventionally acquired STIR images (Photo courtesy of Subtle Medical)

AI-Powered Synthetic Imaging Software to Further Redefine Speed and Quality of Accelerated MRI

The development of innovative solutions is not only redefining the landscape of artificial intelligence (AI)-based diagnostic imaging but also simplifying the ever-increasing complexity of workflows faced... Read more

Ultrasound

view channel
Image: The new FDA-cleared AI-enabled applications have been integrated into the EPIQ CVx and Affiniti CVx ultrasound systems (Photo courtesy of Royal Philips)

Next-Gen AI-Enabled Cardiovascular Ultrasound Platform Speeds Up Analysis

Heart failure is a significant global health challenge, affecting approximately 64 million individuals worldwide. It is associated with high mortality rates and poor quality of life, placing a considerable... Read more

Imaging IT

view channel
Image: The new Medical Imaging Suite makes healthcare imaging data more accessible, interoperable and useful (Photo courtesy of Google Cloud)

New Google Cloud Medical Imaging Suite Makes Imaging Healthcare Data More Accessible

Medical imaging is a critical tool used to diagnose patients, and there are billions of medical images scanned globally each year. Imaging data accounts for about 90% of all healthcare data1 and, until... Read more

Industry News

view channel
Image: The new collaborations aim to further advance AI foundation models for medical imaging (Photo courtesy of Microsoft)

Microsoft collaborates with Leading Academic Medical Systems to Advance AI in Medical Imaging

Medical imaging is a critical component of healthcare, with health systems spending roughly USD 65 billion annually on imaging alone, and about 80% of all hospital and health system visits involve at least... Read more
Copyright © 2000-2024 Globetech Media. All rights reserved.