Philips Launches New CT System, AI-Enabled Imaging Tools and Cloud-Based Informatics

Royal Philips unveiled at RSNA 2024 the CT 5300 system, featuring a comprehensive suite of AI-enabled ‘Precise’ software solutions that assist at every step of the CT workflow, freeing technicians and radiologists from routine, time-consuming tasks and allowing them more time to focus on their patients. The company showcased its latest AI-powered diagnostic and treatment imaging innovations to advance precise imaging with faster, easier and more efficient workflows.
“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, 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.”

Philips CT Smart Workflow solutions include camera-based Precise Position, which improves the accuracy of vertical positioning relative to manual positioning by up to 50% during scan preparation, increases user-to-user consistency by up to 70%, and reduces positioning time by up to 23%. Also included is Precise Cardiac, which compensates for cardiac motion to improve visualization of the coronary arteries during CT imaging, even in patients with a rapid heartbeat, and Precise Brain, which automatically reformats scans to help improve visualization for fast confident diagnosis of the respective anatomies. In addition, Precise Image delivers fast, high-quality image reconstruction with an 80% lower radiation dose, 85% lower noise, and 60% improved low-contrast detectability, making the CT 5300 ideal for sites developing cardiac programs and ultra-low dose screening.

CT 5300 is seamlessly integrated with Advanced Visualization Workspace, Philips’ comprehensive, scalable AI-enabled image post-processing platform. This platform is designed to streamline radiology workflows to help deliver high-quality care, enhance diagnostic confidence, and speed image reading and reporting. The unique clinical depth and deployment capabilities of Advanced Visualization Workspace allow it to scale to meet changing clinical needs and future expansion.

Philips also announced a pilot with medical imaging AI solutions company Annalise.ai to investigate the feasibility of Annalise Critical Care AI – a comprehensive critical case triage support solution – to enhance triage support and optimize workflows for conditions like traumatic brain injury (TBI), which require time-critical intervention. This newly announced collaboration aims to evaluate ways to further streamline workflows and prioritize time-sensitive cases. The collaboration will investigate integrating Annalise Critical Care AI – the most comprehensive AI-driven triage product for chest X-ray and non-contrast CT of the brain available in the USA. By flagging and prioritizing 12 time-sensitive clinical findings often encountered in emergency departments, these AI capabilities help clinicians focus on the most critical cases. This is particularly valuable during nights and weekends when fewer staff are on duty, and delays in intervention pose a significant risk to patients.

Addressing key challenges faced by radiologists, these innovations are complemented by Philips’ industry-leading expertise in cloud-based data management, advanced visualization, automation, and AI. Together, they aim to reduce the administrative burden and empower clinicians with insights to deliver better care for more people.

“The healthcare industry is facing a perfect storm of challenges in radiology: increasing patient volumes, skyrocketing demand for imaging studies, and an explosion in imaging data. At the same time, staff shortages are creating mounting pressure on already strained resources,” said Bert van Meurs, Chief Business Leader of Diagnosis and Treatment at Philips. “Our intelligent imaging systems combined with our world-class informatics support healthcare providers in embracing innovative solutions that enhance efficiency, reduce the administrative burden, and empower radiologists to focus on delivering precise, high-quality care.”

At RSNA Philips also showcased its advanced Healthcare Informatics capabilities for data management, advanced visualization, automation, and AI to help reduce administrative burdens and empower clinicians with insights to deliver better care. In the run-up to the event, Philips expanded its strategic collaboration with Amazon Web Services (AWS) to offer Philips’ integrated diagnostics portfolio in the cloud, including radiology, digital pathology, cardiology, and AI advanced visualization solutions. As part of the agreement, Philips aims to create robust and scalable generative AI applications that leverage state-of-the-art foundation models from Amazon Bedrock, and seamlessly integrate into clinical workflows.