The computed tomography device reportedly offers enhanced post-processing of images as well as bolstered image reconstruction capabilities with an 80 percent reduction in radiation dosing.
Combining enhanced imaging with significant reductions in patient positioning time and radiation dosing, Philips unveiled the artificial intelligence (AI)-enabled CT 5300 computed tomography (CT) system at the Radiological Society of North America (RSNA) conference.
Emphasizing precision software capabilities, the CT 5300 system includes CT Smart Workflow, which offers an array of AI-powered tools to drive workflow efficiencies, according to Philips.
The CT 5300 system includes CT Smart Workflow, which offers an array of AI-powered tools to facilitate significant workflow efficiencies, according to Philips, the manufacturer of the system. (Image courtesy of Philips.)
The company says key features of the CT 5300 device include:
• Precise Position, which facilitates up to a 23 percent reduction in patient positioning time;
• Precise Image, which enables rapid image reconstruction with an 80 percent reduction in radiation dosing; and
• the Advanced Visualization Workspace, which combines expedited reporting with a scalable, AI-powered post-processing platform for images.
(Editor’s note: For additional coverage from RSNA, click here.)
“By equipping the CT 5300 with our unique NanoPanel Precise detector and ultra-low noise Precise Image reconstruction technology, together with our latest AI-driven CT Smart Workflow solutions, we are integrating hardware, software, and AI to make high-quality care more productive, cost-effective, and widely accessible,” said Dan Xu, the CT business leader at Philips. “The productivity and diagnostic confidence enhancements that AI can deliver to CT imaging empower care teams and ease departmental workflow, helping to mitigate today’s chronic shortage of highly skilled radiologists and technicians.”
What New Research Reveals About Novice Use of AI-Guided Cardiac Ultrasound
April 4th 2025In a study recently presented at the American College of Cardiology (ACC) conference, researchers found that novice use of AI-guided cardiac ultrasound after an AI-enabled electrocardiogram increased the positive predictive value for reduced left ventricular ejection fraction (LVEF) or aortic valve stenosis by 33 percent.
The Reading Room: Artificial Intelligence: What RSNA 2020 Offered, and What 2021 Could Bring
December 5th 2020Nina Kottler, M.D., chief medical officer of AI at Radiology Partners, discusses, during RSNA 2020, what new developments the annual meeting provided about these technologies, sessions to access, and what to expect in the coming year.
RSNA 2020: Addressing Healthcare Disparities and Access to Care
December 4th 2020Rich Heller, M.D., with Radiology Partners, and Lucy Spalluto, M.D., with Vanderbilt University School of Medicine, discuss the highlights of their RSNA 2020 session on health disparities, focusing on the underlying factors and challenges radiologists face to providing greater access to care.
GE HealthCare Launches PET MPI Agent Flyrcado at ACC Conference
March 28th 2025The positron emission tomography myocardial perfusion imaging (PET MPI) agent, which offers a significantly higher half-life than other cardiac PET agents, was recently granted pass-through payment status by CMS that will go into effect on April 1, 2025.
New Collaboration Offers Promise of Automating Prior Authorizations in Radiology with AI
March 26th 2025In addition to a variety of tools to promote radiology workflow efficiencies, the integration of the Gravity AI tools into the PowerServer RIS platform may reduce time-consuming prior authorizations to minutes for completion.