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December 1, 2024
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- The Philips CT 5300 combines innovative hardware, software and artificial intelligence to make high-quality examination, diagnosis and interventional imaging accessible to more patients, including reading support with advanced AI-enabled Philips Visualization Workspace applications
- Philips partners with Annalise.ai to evaluate workflow streamlining to prioritize time-sensitive cases
Amsterdam, Netherlands and Chicago, USA –
Royal Philips (NYSE: PHG, AEX: PHIA), a global leader in health technology, today announced enhanced confidence in clinical decision support through the artificial intelligence and intelligent workflow automation capabilities of the company’s recently introduced CT 5300 system, which manufactures its product in north america. Debuting at RSNA 2024. Key to this latest innovation is Philips CT Smart Workflow which features a comprehensive suite of AI-powered “precision” software solutions that assist at every step of the CT workflow, freeing technicians and radiologists from time-consuming routine tasks and making More time for them to focus on their patients.
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“By equipping the CT 5300 with our unique NanoPanel Precise detector and ultra-low noise, precise image reconstruction technology, combined with our latest AI-driven CT Smart Workflow solution, we are integrating hardware, software and AI to deliver higher-quality care,” he said. “It’s productive, cost-effective and widely accessible,” said Dan Shaw, Head of CT Business at Philips. “The improvements in productivity and diagnostic confidence that AI can bring to CT are empowering care teams.” “And facilitating departmental workflow, helping to alleviate today’s chronic shortage of highly skilled radiologists and technicians.”
Integrated intelligent workflow based on artificial intelligence
Philips CT solutions include camera-based Smart Workflow Exact positionwhich improves vertical positioning accuracy relative to manual positioning by up to 50% during scan setup, increases user-to-user consistency by up to 70%, and reduces positioning time by up to 23% (1). Also included are Precise Cardiac, which compensates for heart motion to improve visualization of the coronary arteries during CT, even in patients with a rapid heartbeat, and Precise Brain, which automatically reformats scans to help improve visualization for quick, confident diagnosis of the anatomy in question. . In addition, Accurate image It provides fast, high-quality image reconstruction with 80% lower radiation dose, 85% less noise, and 60% improved low-contrast detectability (2), making the CT 5300 ideal for sites developing cardiac programs and ultra-low dose screening.
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CT 5300 is seamlessly integrated with Advanced visualization workspacePhilips’ comprehensive, scalable, AI-powered image post-processing platform (3,4). This platform is designed to streamline radiology workflow to help deliver high-quality care, enhance diagnostic confidence, and accelerate image reading and reporting. The unique clinical depth and deployment capabilities of the Advanced Visualization Workspace allow it to scale to meet changing clinical needs and future expansion.
Collaboration with Annalise.ai to evaluate triage in emergency departments
Philips also announced a pilot with the medical imaging AI solutions company Annalise.ai To investigate the feasibility of Annalize Critical Care AI – a comprehensive critical triage support solution – to enhance triage support and improve workflow for conditions such as traumatic brain injury (TBI), which require time-critical intervention. This newly announced collaboration aims to evaluate ways to further streamline workflow and prioritize time-sensitive cases. The collaboration will achieve the integration of Annalize Critical Care AI – the most comprehensive AI-based triage product for chest X-ray and non-contrast brain CT available in the USA. By flagging and prioritizing 12 time-sensitive clinical outcomes that are often encountered in emergency departments, these AI capabilities help doctors focus on the most critical cases. This is especially important during nights and weekends when fewer staff are on duty, and delays in intervention pose a significant risk to patients.
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“This is an exciting time for radiology. Our solutions are designed to streamline workflow and enhance the productivity of radiology teams. Together with Philips, we look forward to making high-quality care truly accessible,” said Dimitri Tran, co-founder and executive vice president of Annalise.ai.
AI for critical care has been shown to improve average report delivery times by up to 39% (5). It is the first computer-aided screening device to receive FDA Breakthrough Device designation and NTAP (New Technology Additional Payment) insurance for detecting obstructive hydrocephalus (water on the brain). Philips will also evaluate Annalize Enterprise CTB – a comprehensive clinical decision support solution that can detect up to 130 radiological findings – for sites outside the USA.
The Philips CT 5300 with Advanced Visualization Workspace will be on display at Philips booth #6730 at #RSNA24. Visit Phillips at RSNA For more information.
(1) Based on an internal Philips evaluation by five clinical experts, manual versus precision mode was compared in 40 clinical cases using a human body phantom.
(2) In clinical practice, the use of microimage may reduce patient CT dose depending on the clinical task, patient size, and anatomical location. A consultation with a radiologist and physicist should be undertaken to determine the appropriate dose to obtain diagnostic image quality for the specific clinical task. Dose reduction assessments were performed using reference body protocols with 1.0 mm slices in the “Smoother” setting of the micro imager, and tested on a MITA CT IQ Phantom (CCT189, The Phantom Laboratory) for 10 mm pin evaluation and comparison with filtered back projection. A range is seen across all four limbs, with the 2-channel hotel monitor, which includes 85% less image noise and improved low-contrast detectability from 0% to 60% at 50% to 80% dose reduction. The NPS curve shift is used to evaluate image appearance, as measured on a 20 cm water phantom in a 50 mm x 50 mm central region of interest, with an average shift of 6% or less.
(3) Spektor B. Preprocessing prediction for advanced medical imaging algorithms, 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 Conference 2022. https://annalise.ai/evidence/radiologist-reporting-productivity-benefits-from-ai-assisted-triage-of-cxr-studies-in-clinical-practice/
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For more information, please contact:
Cathy O’Reilly
Philips Global Press Office
Tel: +1 978-221-8919
Email: 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 purposeful innovation. Philips’ patient and people-focused innovation leverages advanced technology and deep clinical and consumer insights to deliver personalized health solutions for consumers and professional health solutions for healthcare providers and their patients in the hospital and at home. Headquartered in the Netherlands, the company is a leader in diagnostic imaging, ultrasound, image-guided therapy, monitoring, enterprise informatics, as well as in personal health. Philips has sales of €18.2 billion for 2023 and employs approximately 69,700 people in sales and service in more than 100 countries. News about Philips can be found at www.philips.com/newcenter.
Attachments
- Philips CT 5300 with AI-powered workflow
- Clinical imaging of the heart using Precise Cardiac on a Philips CT 5300
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