Royal Philips has launched the artificial intelligence (AI)-enabled Philips CT 5300 system for diagnosis, interventional procedures, and screening.
The Philips CT 5300 system is said to be an adaptable X-ray CT system. It is designed to enhance patient outcomes and department productivity by streamlining workflow, optimising system up-time, and boosting diagnostic confidence.
According to the Dutch health technology firm, the X-ray CT system meets advanced diagnostic imaging standards for cardiac care patient guidelines and difficult areas including trauma care and interventional treatments.
Additionally, the system incorporates virtual tools for clinical/technical assistance and real-time communication. These tools can be very helpful in resolving issues with complex situations, growing patient caseloads, personnel shortages, and financial limitations, Philips said.
Philips CT 5300 system is said to offer a more affordable, reasonably priced device by combining clinical expertise and functionality previously seen in expensive scanners.
Furthermore, the CT imaging system has a Nanopanel Precise detector specifically for AI-based reconstruction. The new detector uses the Philips Precise Image reconstruction software to provide high-quality images at a much lower radiation dose.
Philips CT business leader Frans Venker said: “We listened to radiologists about the issues they face every day and what they wanted out of a next-generation CT system.
“We then combined the latest imaging and AI technologies to meet their needs and created a system that delivers next-level diagnostic confidence, empowers workflows, and ensures lifetime value.
“We’ve leveraged AI in virtually every aspect of the CT 5300, freeing both CT technicians and radiologists from tedious, time-consuming tasks so they can spend more time focused on their patients.”
In a separate development, the health technology company partnered with Sweden-based Synthetic MR to offer an AI-based quantitative brain imaging technology called Smart Quant Neuro 3D.
The brain imaging technology allows for automatic monitoring of different brain tissues to improve brain disease decision support, evaluation of therapeutic effectiveness, and for tracking disease development.
The technology combines Philips 3D SyntAc clinical application, Philips’ AI-based SmartSpeed image-reconstruction technology, and Synthetic MR’s SyMRI NEURO 3D quantitative tissue assessment algorithm.
