Philips optimizes CT workflows with in-house AI, launches CT 5300 in North America at #RSNA2024

Article content

December 1, 2024

Article content

Article content

• Philips CT 5300 combines innovative hardware, software, and artificial intelligence to make high-quality screening, diagnostic, and interventional imaging accessible to more patients, including reading support with Automated AI-enabled Philips Advanced Visualization Workspace applications
• Philips collaborates with Annalise.ai to evaluate streamlining workflows to prioritize time-sensitive cases

Amsterdam, the Netherlands and Chicago, USA –
Royal Philips (NYSE: PHG, AEX: PHIA), a global leader in health technology, today announced a boost in confidence in clinical decision-support with AI and smart workflow automation capabilities in the company’s recently introduced CT 5300 system, which is making its North America debut at RSNA 2024. Key to this latest innovation is Philips’ CT Smart Workflow 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.

Article content

“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.”

End-to-end AI-driven smart workflow
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% [1]. 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 [2], making the CT 5300 ideal for sites developing cardiac programs and ultra-low dose screening.

Article content

Article content

CT 5300 is seamlessly integrated with Advanced Visualization Workspace, Philips’ comprehensive, scalable AI-enabled image post-processing platform [3,4]. 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.

Collaboration with Annalise.ai for triage evaluation in emergency departments
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.

Article content

“This is an exciting time for radiology. Our solutions are designed to streamline workflows and boost productivity for radiology teams. Together with Philips, we look forward to making high-quality care truly accessible,” said Dimitry Tran, co-founder and deputy CEO of Annalise.ai.

Critical Care AI has been shown to improve median report turnaround times by up to 39% [5]. It is the first computer-aided detection triage device to receive FDA Breakthrough Device Designation and secure NTAP (New Technology Add-on Payment) for obstructive hydrocephalus (water on the brain) detection. Philips will also be evaluating the Annalise Enterprise CTB solution – a comprehensive clinical decision-support solution that can detect up to 130 radiology findings – for sites outside of the USA.

The Philips CT 5300 with Advanced Visualization Workspace will be showcased at the Philips Booth #6730 at #RSNA24. Visit Philips at RSNA for more information.

[1] Based on an internal Philips assessment conducted by five clinical experts, comparing manual positioning versus Precise Position in 40 clinical cases using a human body phantom.
[2] In clinical practice, the use of Precise Image may reduce CT patient dose depending on the clinical task, patient size, and anatomical location. A consultation with a radiologist and a physicist should be made to determine the appropriate dose to obtain diagnostic image quality for the particular clinical task. Dose reduction assessments were performed using reference body protocols with 1.0 mm slices at the “Smoother” setting of Precise Image, and tested on the MITA CT IQ Phantom (CCT189, The Phantom Laboratory) assessing the 10 mm pin and compared to filtered-back projection. A range is seen across the four pins, using a channelized hoteling observer tool, that includes lower image noise by 85% and improved low-contrast detectability from 0% to 60% at 50% to 80% dose reduction. NPS curve shift is used to evaluate image appearance, as measured on a 20 cm water phantom in the center 50mm x 50 mm region of interest, with an average shift of 6% or less.
[3] Specktor B. Preprocessing prediction of advanced algorithms for medical imaging, J Digit Imaging 31:42-50, 2018
[4] Applications may not be available in all markets. Please Contact your Philips representative for more details.
[5] S. Karunasena, M. Milne, D. Rosewarne, C. Jones. Radiologist reporting productivity benefits from AI-assisted triage of CXR studies in clinical practice. Poster, British Institute of Radiology Annual Congress 2022. https://annalise.ai/evidence/radiologist-reporting-productivity-benefits-from-ai-assisted-triage-of-cxr-studies-in-clinical-practice/

Article content

For further information, please contact:

Kathy O’Reilly
Philips Global Press Office
Tel.: +1 978-221-8919
E-mail : kathy.oreilly@philips.com

About Royal Philips

Royal Philips (NYSE: PHG, AEX: PHIA) is a leading health technology company focused on improving people’s health and well-being through meaningful innovation. Philips’ patient- and people-centric innovation leverages advanced technology and deep clinical and consumer insights to deliver personal health solutions for consumers and professional health solutions for healthcare providers and their patients in the hospital and the home. Headquartered in the Netherlands, the company is a leader in diagnostic imaging, ultrasound, image-guided therapy, monitoring, and enterprise informatics, as well as in personal health. Philips generated 2023 sales of EUR 18.2 billion and employs approximately 69,700 employees with sales and services in more than 100 countries. News about Philips can be found at www.philips.com/newscenter.

Attachments

• Philips CT 5300 with AI-enabled workflow
• Clinical image of the heart with Precise Cardiac on Philips CT 5300

Article content